langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	7fa82900cb	guides docs nits (#10005 )	1 year ago
Bagatur	2f03e71e67	rename local llm guide (#10004 )	1 year ago
Bagatur	781f274d19	make privacy guide section (#10003 )	1 year ago
maks-operlejn-ds	a8f804a618	Add data anonymizer (#9863 ) ### Description The feature for anonymizing data has been implemented. In order to protect private data, such as when querying external APIs (OpenAI), it is worth pseudonymizing sensitive data to maintain full privacy. Anonynization consists of two steps: 1. Identification: Identify all data fields that contain personally identifiable information (PII). 2. Replacement: Replace all PIIs with pseudo values or codes that do not reveal any personal information about the individual but can be used for reference. We're not using regular encryption, because the language model won't be able to understand the meaning or context of the encrypted data. We use Microsoft Presidio together with Faker framework for anonymization purposes because of the wide range of functionalities they provide. The full implementation is available in `PresidioAnonymizer`. ### Future works - deanonymization - add the ability to reverse anonymization. For example, the workflow could look like this: `anonymize -> LLMChain -> deanonymize`. By doing this, we will retain anonymity in requests to, for example, OpenAI, and then be able restore the original data. - instance anonymization - at this point, each occurrence of PII is treated as a separate entity and separately anonymized. Therefore, two occurrences of the name John Doe in the text will be changed to two different names. It is therefore worth introducing support for full instance detection, so that repeated occurrences are treated as a single object. ### Twitter handle @deepsense_ai / @MaksOpp --------- Co-authored-by: MaksOpp <maks.operlejn@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	98cce7dcd3	update moderation docs (#10002 )	1 year ago
Christophe Bornet	9870bfb9cd	Add bucket and object key to metadata in S3 loader (#9317 ) - Description: this PR adds `s3_object_key` and `s3_bucket` to the doc metadata when loading an S3 file. This is particularly useful when using `S3DirectoryLoader` to remove the files from the dir once they have been processed (getting the object keys from the metadata `source` field seems brittle) - Dependencies: N/A - Tag maintainer: ? - Twitter handle: _cbornet --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Guy Korland	24c0b01c38	Extend the FalkorDB QA demo (#9992 ) - Description: Extend the FalkorDB QA demo - Tag maintainer: @baskaryan	1 year ago
wlleiiwang	8c4e29240c	implement vectorstores by tencent vectordb	1 year ago
Leonid Ganeline	d03d6f6fd9	Merge branch 'master' into docs-tools-menu	1 year ago
Bagatur	8fb0a9594c	Add LLMonitor Callback Handler Integration - open-source observability & analytics (#9870 ) Adds support for [llmonitor](https://llmonitor.com) callbacks. It enables: - Requests tracking / logging / analytics - Error debugging - Cost analytics - User tracking Let me know if anythings neds to be changed for merge. Thank you!	1 year ago
leo-gan	8c1678a8c7	Updated titles, descriptions.	1 year ago
Bagatur	7bba1d911b	Fix typo in code_understanding.ipynb (#9899 ) seperate -> separate	1 year ago
Bagatur	2e65434568	docs: Fix the syntax error, replace "dotenv.load_env()" with "dotenv.… (#9900 ) Description: The documents incorrectly mentions "dotenv.load_env()", but it should actually be "dotenv.load_dotenv()". You can see the screenshot below for reference: python-dotenv: 1.0.0 ![image](https://github.com/langchain-ai/langchain/assets/2959046/94dc4b51-cc2f-412d-92e9-16b8ff0d513e)	1 year ago
Bagatur	b416f5c0c8	fix a link name format to the dependents document (#9928 )	1 year ago
Bagatur	8f199239b8	docs: `llms/google vertex AI` example update (#9960 ) Updated title, description, added sections.	1 year ago
Bagatur	2a03a0087d	docs: `memory` menu (#9947 ) The [Memory](https://python.langchain.com/docs/modules/memory/) menu is clogged with unnecessary wording. I've made it more concise by simplifying titles of the example notebooks. As results, menu is shorter and better for comprehend.	1 year ago
Bagatur	f7cc125cac	docs: `memory types` menu (#9949 ) The [Memory Types](https://python.langchain.com/docs/modules/memory/types/) menu is clogged with unnecessary wording. I've made it more concise by simplifying titles of the example notebooks. As results, menu is shorter and better for comprehend.	1 year ago
Bagatur	16eb935469	Fix for similarity_search_with_score (#9903 ) - Description: the implementation for similarity_search_with_score did not actually include a score or logic to filter. Now fixed. - Tag maintainer: @rlancemartin - Twitter handle: @ofermend	1 year ago
Fredrik Gullberg	f69d236a4a	docs: Fix spelling mistakes in apis.ipynb (#9911 ) - Description: Fix spelling mistakes in apis.ipynb - Issue: [#9910](https://github.com/langchain-ai/langchain/issues/9910) Co-authored-by: Fredrik Gullberg <fredrik.gullberg@klarna.com>	1 year ago
leo-gan	210de0c66b	Updated title, description, added sections	1 year ago
Cameron Hutchison	bcc3463ff4	docs: Azure AD Authentication for Azure OpenAI (#9951 ) # Description This PR adds additional documentation on how to use Azure Active Directory to authenticate to an OpenAI service within Azure. This method of authentication allows organizations with more complex security requirements to use Azure OpenAI. # Issue N/A # Dependencies N/A # Twitter https://twitter.com/CamAHutchison	1 year ago
Guy Korland	7cbe872af8	Add support for Falkordb (ex-RedisGraph) (#9821 ) Replace this entire comment with: - Description: Add support for Falkordb (ex-RedisGraph) - Tag maintainer: @hwchase17 - Twitter handle: @g_korland	1 year ago
Leonid Ganeline	393816e7bd	Merge branch 'master' into docs-memory-type-menu	1 year ago
Corvus Lee	0fb95ebe66	Docs: enrich SageMaker endpoint embeddings with docstrings and examples (#9924 ) Description: added comments to address the relationship between input/output transformations and the customised inference.py script.	1 year ago
leo-gan	d578efba35	updated notebook titles and text.	1 year ago
Leonid Ganeline	4b6e41a939	Merge branch 'master' into docs-memory-menu	1 year ago
Tomaz Bratanic	6092422e10	Add neo4j provider page (#9941 )	1 year ago
leo-gan	c906041aa8	updated notebook titles and text.	1 year ago
Tomaz Bratanic	db13fba7ea	Add neo4j vector support (#9770 ) Neo4j has added vector index integration just recently. To allow both ingestion and integrating it as vector RAG applications, I wrapped it as a vector store as the implementation is completely different from `GraphCypherQAChain`. Here, we are not generating any Cypher statements at query time, we are simply doing the vector similarity search using the new vector index as if we were dealing with a vector database. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Tudor Golubenco	171b0b183b	Pre-release Xata version no longer required (#9915 ) Tiny PR: Since we've released version 1.0.0 of the python SDK, we no longer need to specify the pre-release version when pip installing.	1 year ago
Mike Nitsenko	c80e406e95	Cube semantic loader: allow cubes processing (#9927 ) We've started to receive feedback (after launch) that using only views is confusing. We're considering this as a good practice, as a view serves as a "facade" for your data - however, we decided to let users decide this on their own. Solves the questions from: - https://github.com/cube-js/cube/issues/7028 - https://github.com/langchain-ai/langchain/pull/9690	1 year ago
LiaoKong	8f8455b24d	fix a link name format to the dependents document	1 year ago
Ofer Mendelevitch	8b8d2a6535	fixed similarity_search_with_score to really use a score updated unit test with a test for score threshold Updated demo notebook	1 year ago
Ikko Eltociear Ashimine	766bbd6c6b	Fix typo in code_understanding.ipynb seperate -> separate	1 year ago
tongtie	82a3c2a557	docs: Fix the syntax error, replace "dotenv.load_env()" with "dotenv.load_dotenv()".	1 year ago
Mazhar (Taha) Mumbaiwala	e80834d783	docs: Fix spelling mistakes in Etherscan.ipynb (#9845 )	1 year ago
Philippe PRADOS	7fdb7439e0	Update google drive notebooks (#9851 ) Update google drive doc loader and retriever notebooks. Show how to use with langchain-googledrive package. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Xiaobing Mi	5d47833ae1	Fix typo in web_scraping.ipynb (#9835 )	1 year ago
Leonid Ganeline	b1bffea9c7	docs: fix for title of `llm_caching` nb (#9891 ) Fixed title for the `extras/integrations/llms/llm_caching.ipynb`. Existing title breaks the sorted order of items in the navbar. Updated some formatting.	1 year ago
Leonid Ganeline	e01b00aa54	docs: `ainetwork` update (#9871 ) * Added links to the AI Network * Made title consistent to other tool kits * Added `integrations/providers/` integration card page * No changes in the example code!	1 year ago
Leonid Ganeline	cf122b6269	docs: `Infino` example fix (#9888 ) - Fixed a broken link in the `integrations/providers/infino.mdx` - Fixed a title in the `integration/collbacks/infino.ipynb` example - Updated text format in this example.	1 year ago
William FH	b14d74dd4d	iMessage loader (#9832 ) Add an iMessage chat loader	1 year ago
Lance Martin	8393ba9dab	Add instructions for GGUF (#9874 ) llama.cpp migrated to GGUF model format, and new releases (e.g., [here](https://huggingface.co/TheBloke)) now use GGUF.	1 year ago
hughcrt	3a4d4c940c	Change video width	1 year ago
hughcrt	97741d41c5	Add LLMonitorCallbackHandler	1 year ago
eryk-dsai	7f5713b80a	feat: grammar-based sampling in llama-cpp (#9712 ) ## Description The following PR enables the [grammar-based sampling](https://github.com/ggerganov/llama.cpp/tree/master/grammars) in llama-cpp LLM. In short, loading file with formal grammar definition will constrain model outputs. For instance, one can force the model to generate valid JSON or generate only python lists. In the follow-up PR we will add: * docs with some description why it is cool and how it works * maybe some code sample for some task such as in llama repo --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	c1badc1fa2	add gmail loader (#9810 )	1 year ago
Vikas Sheoran	63921e327d	docs: Fix a spelling mistake in adding_memory.ipynb (#9794 ) # Description This pull request fixes a small spelling mistake found while reading docs.	1 year ago
Rosário P. Fernandes	aab01b55db	typo: funtions --> functions (#9784 ) Minor typo in the extractions use-case	1 year ago
Sam Partee	a28eea5767	Redis metadata filtering and specification, index customization (#8612 ) ### Description The previous Redis implementation did not allow for the user to specify the index configuration (i.e. changing the underlying algorithm) or add additional metadata to use for querying (i.e. hybrid or "filtered" search). This PR introduces the ability to specify custom index attributes and metadata attributes as well as use that metadata in filtered queries. Overall, more structure was introduced to the Redis implementation that should allow for easier maintainability moving forward. # New Features The following features are now available with the Redis integration into Langchain ## Index schema generation The schema for the index will now be automatically generated if not specified by the user. For example, the data above has the multiple metadata categories. The the following example ```python from langchain.embeddings import OpenAIEmbeddings from langchain.vectorstores.redis import Redis embeddings = OpenAIEmbeddings() rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users" ) ``` Loading the data in through this and the other ``from_documents`` and ``from_texts`` methods will now generate index schema in Redis like the following. view index schema with the ``redisvl`` tool. [link](redisvl.com) ```bash $ rvl index info -i users ``` Index Information: \| Index Name \| Storage Type \| Prefixes \| Index Options \| Indexing \| \|--------------\|----------------\|---------------\|-----------------\|------------\| \| users \| HASH \| ['doc:users'] \| [] \| 0 \| Index Fields: \| Name \| Attribute \| Type \| Field Option \| Option Value \| \|----------------\|----------------\|---------\|----------------\|----------------\| \| user \| user \| TEXT \| WEIGHT \| 1 \| \| job \| job \| TEXT \| WEIGHT \| 1 \| \| credit_score \| credit_score \| TEXT \| WEIGHT \| 1 \| \| content \| content \| TEXT \| WEIGHT \| 1 \| \| age \| age \| NUMERIC \| \| \| \| content_vector \| content_vector \| VECTOR \| \| \| ### Custom Metadata specification The metadata schema generation has the following rules 1. All text fields are indexed as text fields. 2. All numeric fields are index as numeric fields. If you would like to have a text field as a tag field, users can specify overrides like the following for the example data ```python # this can also be a path to a yaml file index_schema = { "text": [{"name": "user"}, {"name": "job"}], "tag": [{"name": "credit_score"}], "numeric": [{"name": "age"}], } rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users" ) ``` This will change the index specification to Index Information: \| Index Name \| Storage Type \| Prefixes \| Index Options \| Indexing \| \|--------------\|----------------\|----------------\|-----------------\|------------\| \| users2 \| HASH \| ['doc:users2'] \| [] \| 0 \| Index Fields: \| Name \| Attribute \| Type \| Field Option \| Option Value \| \|----------------\|----------------\|---------\|----------------\|----------------\| \| user \| user \| TEXT \| WEIGHT \| 1 \| \| job \| job \| TEXT \| WEIGHT \| 1 \| \| content \| content \| TEXT \| WEIGHT \| 1 \| \| credit_score \| credit_score \| TAG \| SEPARATOR \| , \| \| age \| age \| NUMERIC \| \| \| \| content_vector \| content_vector \| VECTOR \| \| \| and throw a warning to the user (log output) that the generated schema does not match the specified schema. ```text index_schema does not match generated schema from metadata. index_schema: {'text': [{'name': 'user'}, {'name': 'job'}], 'tag': [{'name': 'credit_score'}], 'numeric': [{'name': 'age'}]} generated_schema: {'text': [{'name': 'user'}, {'name': 'job'}, {'name': 'credit_score'}], 'numeric': [{'name': 'age'}]} ``` As long as this is on purpose, this is fine. The schema can be defined as a yaml file or a dictionary ```yaml text: - name: user - name: job tag: - name: credit_score numeric: - name: age ``` and you pass in a path like ```python rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users3", index_schema=Path("sample1.yml").resolve() ) ``` Which will create the same schema as defined in the dictionary example Index Information: \| Index Name \| Storage Type \| Prefixes \| Index Options \| Indexing \| \|--------------\|----------------\|----------------\|-----------------\|------------\| \| users3 \| HASH \| ['doc:users3'] \| [] \| 0 \| Index Fields: \| Name \| Attribute \| Type \| Field Option \| Option Value \| \|----------------\|----------------\|---------\|----------------\|----------------\| \| user \| user \| TEXT \| WEIGHT \| 1 \| \| job \| job \| TEXT \| WEIGHT \| 1 \| \| content \| content \| TEXT \| WEIGHT \| 1 \| \| credit_score \| credit_score \| TAG \| SEPARATOR \| , \| \| age \| age \| NUMERIC \| \| \| \| content_vector \| content_vector \| VECTOR \| \| \| ### Custom Vector Indexing Schema Users with large use cases may want to change how they formulate the vector index created by Langchain To utilize all the features of Redis for vector database use cases like this, you can now do the following to pass in index attribute modifiers like changing the indexing algorithm to HNSW. ```python vector_schema = { "algorithm": "HNSW" } rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users3", vector_schema=vector_schema ) ``` A more complex example may look like ```python vector_schema = { "algorithm": "HNSW", "ef_construction": 200, "ef_runtime": 20 } rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users3", vector_schema=vector_schema ) ``` All names correspond to the arguments you would set if using Redis-py or RedisVL. (put in doc link later) ### Better Querying Both vector queries and Range (limit) queries are now available and metadata is returned by default. The outputs are shown. ```python >>> query = "foo" >>> results = rds.similarity_search(query, k=1) >>> print(results) [Document(page_content='foo', metadata={'user': 'derrick', 'job': 'doctor', 'credit_score': 'low', 'age': '14', 'id': 'doc:users:657a47d7db8b447e88598b83da879b9d', 'score': '7.15255737305e-07'})] >>> results = rds.similarity_search_with_score(query, k=1, return_metadata=False) >>> print(results) # no metadata, but with scores [(Document(page_content='foo', metadata={}), 7.15255737305e-07)] >>> results = rds.similarity_search_limit_score(query, k=6, score_threshold=0.0001) >>> print(len(results)) # range query (only above threshold even if k is higher) 4 ``` ### Custom metadata filtering A big advantage of Redis in this space is being able to do filtering on data stored alongside the vector itself. With the example above, the following is now possible in langchain. The equivalence operators are overridden to describe a new expression language that mimic that of [redisvl](redisvl.com). This allows for arbitrarily long sequences of filters that resemble SQL commands that can be used directly with vector queries and range queries. There are two interfaces by which to do so and both are shown. ```python >>> from langchain.vectorstores.redis import RedisFilter, RedisNum, RedisText >>> age_filter = RedisFilter.num("age") > 18 >>> age_filter = RedisNum("age") > 18 # equivalent >>> results = rds.similarity_search(query, filter=age_filter) >>> print(len(results)) 3 >>> job_filter = RedisFilter.text("job") == "engineer" >>> job_filter = RedisText("job") == "engineer" # equivalent >>> results = rds.similarity_search(query, filter=job_filter) >>> print(len(results)) 2 # fuzzy match text search >>> job_filter = RedisFilter.text("job") % "eng*" >>> results = rds.similarity_search(query, filter=job_filter) >>> print(len(results)) 2 # combined filters (AND) >>> combined = age_filter & job_filter >>> results = rds.similarity_search(query, filter=combined) >>> print(len(results)) 1 # combined filters (OR) >>> combined = age_filter \| job_filter >>> results = rds.similarity_search(query, filter=combined) >>> print(len(results)) 4 ``` All the above filter results can be checked against the data above. ### Other - Issue: #3967 - Dependencies: No added dependencies - Tag maintainer: @hwchase17 @baskaryan @rlancemartin - Twitter handle: @sampartee --------- Co-authored-by: Naresh Rangan <naresh.rangan0@walmart.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Anish Shah	fa0b8f3368	fix broken wandb link in debugging page (#9771 ) - Description: Fix broken hyperlink in debugging page	1 year ago
Lance Martin	4339d21cf1	Code LLaMA in code understanding use case (#9779 ) Update Code Understanding use case doc w/ Code-llama.	1 year ago
Lance Martin	2ab04a4e32	Update agent docs, move to use-case sub-directory (#9344 ) Re-structure and add new agent page	1 year ago
Lance Martin	985873c497	Update RAG use case (move to ntbk) (#9340 )	1 year ago
Harrison Chase	709a67d9bf	multivector notebook (#9740 )	1 year ago
Fabrizio Ruocco	cacaf487c3	Azure Cognitive Search - update sdk b8, mod user agent, search with scores (#9191 ) Description: Update Azure Cognitive Search SDK to version b8 (breaking change) Customizable User Agent. Implemented Similarity search with scores @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Margaret Qian	30151c99c7	Update Mosaic endpoint input/output api (#7391 ) As noted in prior PRs (https://github.com/hwchase17/langchain/pull/6060, https://github.com/hwchase17/langchain/pull/7348), the input/output format has changed a few times as we've stabilized our inference API. This PR updates the API to the latest stable version as indicated in our docs: https://docs.mosaicml.com/en/latest/inference.html The input format looks like this: `{"inputs": [<prompt>]} ` The output format looks like this: ` {"outputs": [<output_text>]} ` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	ade482c17e	add twitter chat loader doc (#9737 )	1 year ago
Leonid Kuligin	87da56fb1e	Added a pdf parser based on DocAI (#9579 ) #9578 --------- Co-authored-by: Leonid Kuligin <kuligin@google.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Tudor Golubenco	dc30edf51c	Xata as a chat message memory store (#9719 ) This adds Xata as a memory store also to the python version of LangChain, similar to the [one for LangChain.js](https://github.com/hwchase17/langchainjs/pull/2217). I have added a Jupyter Notebook with a simple and a more complex example using an agent. To run the integration test, you need to execute something like: ``` XATA_API_KEY='xau_...' XATA_DB_URL="https://demo-uni3q8.eu-west-1.xata.sh/db/langchain" poetry run pytest tests/integration_tests/memory/test_xata.py ``` Where `langchain` is the database you create in Xata.	1 year ago
William FH	dff00ea91e	Chat Loaders (#9708 ) Still working out interface/notebooks + need discord data dump to test out things other than copy+paste Update: - Going to remove the 'user_id' arg in the loaders themselves and just standardize on putting the "sender" arg in the extra kwargs. Then can provide a utility function to map these to ai and human messages - Going to move the discord one into just a notebook since I don't have a good dump to test on and copy+paste maybe isn't the greatest thing to support in v0 - Need to do more testing on slack since it seems the dump only includes channels and NOT 1 on 1 convos - --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Tomaz Bratanic	dacf96895a	Add the option to use separate LLMs for GraphCypherQA chain (#9689 ) The Graph Chains are different in the way that it uses two LLMChains instead of one like the retrievalQA chains. Therefore, sometimes you want to use different LLM to generate the database query and to generate the final answer. This feature would make it more convenient to use different LLMs in the same chain. I have also renamed the Graph DB QA Chain to Neo4j DB QA Chain in the documentation only as it is used only for Neo4j. The naming was ambigious as it was the first graphQA chain added and wasn't sure how do you want to spin it.	1 year ago
Lance Martin	c37be7f5fb	Add Code LLaMA to code QA use case (#9713 ) Use [Ollama integration](https://ollama.ai/blog/run-code-llama-locally).	1 year ago
Patrick Loeber	6bedfdf25a	Fix docs for AssemblyAIAudioTranscriptLoader (shorter import path) (#9687 ) Uses the shorter import path `from langchain.document_loaders import` instead of the full path `from langchain.document_loaders.assemblyai` Applies those changes to the docs and the unit test. See #9667 that adds this new loader.	1 year ago
了空	7cf5c582d2	Added a link to the dependencies document (#9703 )	1 year ago
Harrison Chase	9963b32e59	Harrison/multi vector (#9700 )	1 year ago
Leonid Ganeline	b048236c1a	📖 docs: `integrations/agent_toolkits` (#9333 ) Note: There are no changes in the file names! - The group name on the main navbar changed: `Agent toolkits` -> `Agents & Toolkits`. Examples here are the mix of the Agent and Toolkit examples because Agents and Toolkits in examples are always used together. - Titles changed: removed "Agent" and "Toolkit" suffixes. The reason is the same. - Formatting: mostly cleaning the header structure, so it could be better on the right-side navbar. Main navbar is looking much cleaner now.	1 year ago
Patrick Loeber	5990651070	Add new document_loader: AssemblyAIAudioTranscriptLoader (#9667 ) This PR adds a new document loader `AssemblyAIAudioTranscriptLoader` that allows to transcribe audio files with the [AssemblyAI API](https://www.assemblyai.com) and loads the transcribed text into documents. - Add new document_loader with class `AssemblyAIAudioTranscriptLoader` - Add optional dependency `assemblyai` - Add unit tests (using a Mock client) - Add docs notebook This is the equivalent to the JS integration already available in LangChain.js. See the [LangChain JS docs AssemblyAI page](https://js.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_loaders/assemblyai_audio_transcription). At its simplest, you can use the loader to get a transcript back from an audio file like this: ```python from langchain.document_loaders.assemblyai import AssemblyAIAudioTranscriptLoader loader = AssemblyAIAudioTranscriptLoader(file_path="./testfile.mp3") docs = loader.load() ``` To use it, it needs the `assemblyai` python package installed, and the environment variable `ASSEMBLYAI_API_KEY` set with your API key. Alternatively, the API key can also be passed as an argument. Twitter handles to shout out if so kindly 🙇 [@AssemblyAI](https://twitter.com/AssemblyAI) and [@patloeber](https://twitter.com/patloeber) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
seamusp	25f2c82ae8	docs:misc fixes (#9671 ) Improve internal consistency in LangChain documentation - Change occurrences of eg and eg. to e.g. - Fix headers containing unnecessary capital letters. - Change instances of "few shot" to "few-shot". - Add periods to end of sentences where missing. - Minor spelling and grammar fixes.	1 year ago
Eugene Yurtsev	b88dfcb42a	Add indexing support (#9614 ) This PR introduces a persistence layer to help with indexing workflows into vectostores. The indexing code helps users to: 1. Avoid writing duplicated content into the vectostore 2. Avoid over-writing content if it's unchanged Importantly, this keeps on working even if the content being written is derived via a set of transformations from some source content (e.g., indexing children documents that were derived from parent documents by chunking.) The two main components are: 1. Persistence layer that keeps track of which keys were updated and when. Keeping track of the timestamp of updates, allows to clean up old content safely, and with minimal complexity. 2. HashedDocument which is used to hash the contents (including metadata) of the documents. We rely on the hashes for identifying duplicates. The indexing code works with ANY document loader. To add transformations to the documents, users for now can add a custom document loader that composes an existing loader together with document transformers. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lakshay Kansal	a8c916955f	Updates to Nomic Atlas and GPT4All documentation (#9414 ) Description: Updates for Nomic AI Atlas and GPT4All integrations documentation. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Keras Conv3d	cbaea8d63b	tair fix distance_type error, and add hybrid search (#9531 ) - fix: distance_type error, - feature: Tair add hybrid search --------- Co-authored-by: thw <hanwen.thw@alibaba-inc.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jacob Lee	278ef0bdcf	Adds ChatOllama (#9628 ) @rlancemartin --------- Co-authored-by: Adilkhan Sarsen <54854336+adolkhan@users.noreply.github.com> Co-authored-by: Kim Minjong <make.dirty.code@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	80dd162e0d	mv embedding cache docs (#9664 )	1 year ago
Bagatur	a40c12bb88	Update the nlpcloud connector after some changes on the NLP Cloud API (#9586 ) - Description: remove some text generation deprecated parameters and update the embeddings doc, - Tag maintainer: @rlancemartin	1 year ago
Bagatur	d8e2dd4c89	mv	1 year ago
Bagatur	e2e582f1f6	Fixed source key name for docugami loader (#8598 ) The Docugami loader was not returning the source metadata key. This was triggering this exception when used with retrievers, per https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/schema/prompt_template.py#L193C1-L195C41 The fix is simple and just updates the metadata key name for the document each chunk is sourced from, from "name" to "source" as expected. I tested by running the python notebook that has an end to end scenario in it. Tagging DataLoader maintainers @rlancemartin @eyurtsev	1 year ago
Zizhong Zhang	8a03836160	docs: fix PromptGuard docs (#9659 ) Fix PromptGuard docs. Noticed several trivial issues on the docs when integrating the new class. cc @baskaryan	1 year ago
Yong woo Song	f0ae10a20e	Fix typo in tigris (#9637 ) The link has a typo in [tigirs docs](https://python.langchain.com/docs/integrations/providers/tigris), so I couldn't access it. So, I have corrected it. Thanks! ☺️	1 year ago
Junlin Zhou	5b9bdcac1b	docs: fix link url (#9643 ) This pull request corrects the URL links in the Async API documentation to align with the updated project layout. The links had not been updated despite the changes in layout.	1 year ago
Joseph McElroy	2a06e7b216	ElasticsearchStore: improve error logging for adding documents (#9648 ) Not obvious what the error is when you cannot index. This pr adds the ability to log the first errors reason, to help the user diagnose the issue. Also added some more documentation for when you want to use the vectorstore with an embedding model deployed in elasticsearch. Credit: @elastic and @phoey1	1 year ago
Julien Salinas	f1072cc31f	Merge branch 'master' into master	1 year ago
Leonid Ganeline	e1f4f9ac3e	docs: `integrations/providers` (#9631 ) Added missed pages for `integrations/providers` from `vectorstores`. Updated several `vectorstores` notebooks.	1 year ago
anifort	900c1f3e8d	Add support for structured data sources with google enterprise search (#9037 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Added the capability to handles structured data from google enterprise search, - Issue: Retriever failed when underline search engine was integrated with structured data, - Dependencies: google-api-core - Tag maintainer: @jarokaz - Twitter handle: anifort Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Christos Aniftos <aniftos@google.com> Co-authored-by: Holt Skinner <13262395+holtskinner@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Jacob Lee	632a83c48e	Update ChatOpenAI docs with fine-tuning example (#9632 )	1 year ago
Adilkhan Sarsen	f29312eb84	Fixing deeplake.mdx file as it uses outdates links (#9602 ) deeplake.mdx was using old links and was not working properly, in the PR we fix the issue.	1 year ago
klae01	b868ef23bc	Add AINetwork blockchain toolkit integration (#9527 ) # Description This PR introduces a new toolkit for interacting with the AINetwork blockchain. The toolkit provides a set of tools for performing various operations on the AINetwork blockchain, such as transferring AIN, reading and writing values to the blockchain database, managing apps, setting rules and owners. # Dependencies [ain-py](https://github.com/ainblockchain/ain-py) >= 1.0.2 # Misc The example notebook (langchain/docs/extras/integrations/toolkits/ainetwork.ipynb) is in the PR --------- Co-authored-by: kriii <kriii@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Vanessa Arndorfer	1ea2f9adf4	Document AzureML Deployment Example (#9571 ) Description: Link an example of deploying a Langchain app to an AzureML online endpoint to the deployments documentation page. Co-authored-by: Vanessa Arndorfer <vaarndor@microsoft.com>	1 year ago
toddkim95	fba29f203a	Add to support polars (#9610 ) ### Description Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust. Polars is faster to read than pandas, so I'm looking forward to seeing it added to the document loader. ### Dependencies polars (https://pola-rs.github.io/polars-book/user-guide/) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Julien Salinas	4d0b7bb8e1	Remove Dolphin and GPT-J from the embeddings docs. These models are not proposed anymore.	1 year ago
Jacob Lee	0fea987dd2	Add missing param to parent document retriever notebook (#9569 )	1 year ago
Zizhong Zhang	00eff8c4a7	feat: Add PromptGuard integration (#9481 ) Add PromptGuard integration ------- There are two approaches to integrate PromptGuard with a LangChain application. 1. PromptGuardLLMWrapper 2. functions that can be used in LangChain expression. ----- - Dependencies `promptguard` python package, which is a runtime requirement if you'd try out the demo. - @baskaryan @hwchase17 Thanks for the ideas and suggestions along the development process. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Oleksandr Ichenskyi	8bc1a3dca8	docs: Add memgraph notebook (#9448 ) - Description: added graph_memgraph_qa.ipynb which shows how to use LLMs to provide a natural language interface to a Memgraph database using [MemgraphGraph](https://github.com/langchain-ai/langchain/pull/8591) class. - Dependencies: given that the notebook utilizes the MemgraphGraph class, it relies on both this class and several Python packages that are installed in the notebook using pip (langchain, openai, neo4j, gqlalchemy). The notebook is dependent on having a functional Memgraph instance running, as it requires this instance to establish a connection.	1 year ago
Matthew Zeiler	949b2cf177	Improvements to the Clarifai integration (#9290 ) - Improved docs - Improved performance in multiple ways through batching, threading, etc. - fixed error message - Added support for metadata filtering during similarity search. @baskaryan PTAL	1 year ago
ricki-epsilla	66a47d9a61	add Epsilla vectorstore (#9239 ) [Epsilla](https://github.com/epsilla-cloud/vectordb) vectordb is an open-source vector database that leverages the advanced academic parallel graph traversal techniques for vector indexing. This PR adds basic integration with [pyepsilla](https://github.com/epsilla-cloud/epsilla-python-client)(Epsilla vectordb python client) as a vectorstore. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
axiangcoding	05aa02005b	feat(llms): support ERNIE Embedding-V1 (#9370 ) - Description: support [ERNIE Embedding-V1](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/alj562vvu), which is part of ERNIE ecology - Issue: None - Dependencies: None - Tag maintainer: @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
José Ferraz Neto	f116e10d53	Add SharePoint Loader (#4284 ) - Added a loader (`SharePointLoader`) that can pull documents (`pdf`, `docx`, `doc`) from the [SharePoint Document Library](https://support.microsoft.com/en-us/office/what-is-a-document-library-3b5976dd-65cf-4c9e-bf5a-713c10ca2872). - Added a Base Loader (`O365BaseLoader`) to be used for all Loaders that use [O365](https://github.com/O365/python-o365) Package - Code refactoring on `OneDriveLoader` to use the new `O365BaseLoader`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Utku Ege Tuluk	bb4f7936f9	feat(llms): add streaming support to textgen (#9295 ) - Description: Added streaming support to the textgen component in the llms module. - Dependencies: websocket-client = "^1.6.1"	1 year ago
Leonid Ganeline	fdbeb52756	`Qwen` model example (#9516 ) added an example for `Qwen-7B` model on `HugginfFaceHub` 🤗	1 year ago
Martin Schade	0c8a88b3fa	AmazonTextractPDFLoader documentation updates (#9415 ) Description: Updating documentation to add AmazonTextractPDFLoader according to [comment](https://github.com/langchain-ai/langchain/pull/8661#issuecomment-1666572992) from [baskaryan](https://github.com/baskaryan) Adding one notebook and instructions to the modules/data_connection/document_loaders/pdf.mdx --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Asif Ahmad	08feed3332	Changed the NIBittensorLLM API URL to the correct one (#9419 ) Changed https://api.neuralinterent.ai/ to https://api.neuralinternet.ai/ which is the valid URL for the API of NIBittensorLLM.	1 year ago
EpixMan	103094286e	Fixing class calling error in the documentation of connecting_to_a_feature_store.ipynb (#9508 )	1 year ago
IlyaKIS1	fd8fe209cb	Added In-Depth Langchain Agent Execution Guide (#9507 ) Made the notion document of how Langchain executes agents method by method in the codebase. Can be helpful for developers that just started working with the Langchain codebase.	1 year ago
Rosário P. Fernandes	09a92bb9bf	chatbots use case - fix broken collab URL (#9491 ) The current Collab URL returns a 404, since there is no `chatbots` directory under `use_cases`. <!-- Thank you for contributing to LangChain! If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17, @rlancemartin. -->	1 year ago
bsenst	a956b69720	fix typo in huggingface_hub.ipynb (#9499 )	1 year ago
Bagatur	d87cfd33e8	Update pydantic compatibility guide (#9496 )	1 year ago
Taqi Jaffri	069c0a041f	comment update for poetry install	1 year ago
Taqi Jaffri	5cd244e9b7	CR feedback	1 year ago
Ikko Eltociear Ashimine	0808949e54	Fix typo in apis.ipynb (#9490 ) funtions -> functions	1 year ago
RajneeshSinghShorthillsAI	129d056085	fixed spelling mistake and added missing bracket in parent_document_r… (#9380 ) …etriever.ipynb Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Matt Robinson	83d2a871eb	fix: apply unstructured preprocess functions (#9473 ) ### Summary Fixes a bug from #7850 where post processing functions in Unstructured loaders were not apply. Adds a assertion to the test to verify the post processing function was applied and also updates the explanation in the example notebook.	1 year ago
NavanitDubeyShorthillsAI	b58d492e05	Update pydantic_compatibility.md (#9382 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
bsenst	083726ecda	fix small typo (#9464 )	1 year ago
Leonid Ganeline	99e5eaa9b1	`InternLM` example (#9465 ) Added `InternML` model example to the HubbingFace Hub notebook	1 year ago
William FH	d4f790fd40	Fix imports in notebook (#9458 )	1 year ago
AmitSinghShorthillsAI	2b06792c81	Fixing spelling mistakes in fallbacks.ipynb (#9376 ) Fix spelling errors in the text: 'Therefore' and 'Retrying I want to stress that your feedback is invaluable to us and is genuinely cherished. With gratitude, @baskaryan @hwchase17	1 year ago
PuneetDhimanShorthillsAI	61e4a06447	Corrected Sentence in router.ipynb (#9377 ) Added missing question marks in the lines in the router.ipynb @baskaryan @hwchase17	1 year ago
Leonid Ganeline	edcb03943e	👀 docs: updated `dependents` (#9426 ) Updated statistics (the previous statistics was taken 1+month ago). A lot of new dependents and more starts.	1 year ago
Holmodi	89a8121eaa	Fix a dead loop bug caused by assigning two variables with opposite values. (#9447 ) - Description: Fix a dead loop bug caused by assigning two variables with opposite values.	1 year ago
Bagatur	5d60ced7b3	pydantic compatibility guide fix (#9418 )	1 year ago
Bagatur	0c4683ebcc	Revert "Update compatibility guide for pydantic (#9396 )" (#9417 )	1 year ago
Eugene Yurtsev	b11c233304	Update compatibility guide for pydantic (#9396 ) Use langchain.pydantic_v1 instead of pydantic_v1	1 year ago
Leonid Kuligin	019aa04b06	fixed a pal chain reference (#9387 ) #9386 Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Sanskar Tanwar	c194828be0	Fixed Typo in Fallbacks.ipynb (#9373 ) Removed extra "the" in the sentence about the chicken crossing the road in fallbacks.ipynb. The sentence now reads correctly: "Why did the chicken cross the road?" This resolves the grammatical error and improves the overall quality of the content. @baskaryan , @hinthornw , @hwchase17	1 year ago
AashutoshPathakShorthillsAI	c71afb46d1	Corrected Sentence in .ipynb File (#9372 ) Fixed grammatical errors in the sentence by repositioning the word "are" for improved clarity and readability. @baskaryan @hwchase17 @hinthornw	1 year ago
Akshay Tripathi	de8dfde7f7	Corrected Grammatical errors in tutorials.mdx (#9358 ) I want to extend my heartfelt gratitude to the creator for masterfully crafting this remarkable application. 🙌 I am truly impressed by the meticulous attention to grammar and spelling in the documentation, which undoubtedly contributes to a polished and seamless reader experience. As always, your feedback holds immense value and is greatly appreciated. @baskaryan , @hwchase17	1 year ago
Md Nazish Arman	e842131425	Fixed Grammatical errors in tutorials.mdx (#9359 ) I want to convey my deep appreciation to the creator for their expert craftsmanship in developing this exceptional application. 👏 The remarkable dedication to upholding impeccable grammar and spelling in the documentation significantly enhances the polished and seamless experience for readers. I want to stress that your feedback is invaluable to us and is genuinely cherished. With gratitude, @baskaryan, @hwchase17	1 year ago
AnujMauryaShorthillsAI	6dedd94ba4	Update "Langchain" to "LangChain" in the tutorials.mdx file (#9361 ) In this commit, I have made a modification to the term "Langchain" to correctly reflect the project's name as "LangChain". This change ensures consistency and accuracy throughout the codebase and documentation. @baskaryan , @hwchase17	1 year ago
Adarsh Shrivastav	c5e23293f8	Corrected Typo in MultiPromptChain Example in router.ipynb (#9362 ) Refined the example in router.ipynb by addressing a minor typographical error. The typo "rins" has been corrected to "rains" in the code snippet that demonstrates the usage of the MultiPromptChain. This change ensures accuracy and consistency in the provided code example. This improvement enhances the readability and correctness of the notebook, making it easier for users to understand and follow the demonstration. The commit aims to maintain the quality and accuracy of the content within the repository. Thank you for your attention to detail, and please review the change at your convenience. @baskaryan , @hwchase17	1 year ago
Angel Luis	2e8733cf54	Fix typo in huggingface_textgen_inference.ipynb (#9313 ) Replaced incorrect `stream` parameter by `streaming` on Integrations docs.	1 year ago
Lance Martin	b04e472acf	Open source LLM guide (#9266 ) Guide for using open source LLMs locally.	1 year ago
Eugene Yurtsev	0f9f213833	Pydantic Compatibility (#9327 ) Pydantic Compatibility Guidelines for migration plan + debugging	1 year ago
Chandler May	15f1af8ed6	Fix variable case in code snippet in docs (#9311 ) - Description: Fix a minor variable naming inconsistency in a code snippet in the docs - Issue: N/A - Dependencies: none - Tag maintainer: N/A - Twitter handle: N/A	1 year ago
axiangcoding	63601551b1	fix(llms): improve the ernie chat model (#9289 ) - Description: improve the ernie chat model. - fix missing kwargs to payload - new test cases - add some debug level log - improve description - Issue: None - Dependencies: None - Tag maintainer: @baskaryan	1 year ago
Daniel Chalef	1d55141c50	zep/new ZepVectorStore (#9159 ) - new ZepVectorStore class - ZepVectorStore unit tests - ZepVectorStore demo notebook - update zep-python to ~1.0.2 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	afba2be3dc	update openai functions docs (#9278 )	1 year ago
Bagatur	9abf60acb6	Bagatur/vectara regression (#9276 ) Co-authored-by: Ofer Mendelevitch <ofer@vectara.com> Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com>	1 year ago
Xiaoyu Xee	b30f449dae	Add dashvector vectorstore (#9163 ) ## Description Add `Dashvector` vectorstore for langchain - [dashvector quick start](https://help.aliyun.com/document_detail/2510223.html) - [dashvector package description](https://pypi.org/project/dashvector/) ## How to use ```python from langchain.vectorstores.dashvector import DashVector dashvector = DashVector.from_documents(docs, embeddings) ``` --------- Co-authored-by: smallrain.xuxy <smallrain.xuxy@alibaba-inc.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	bfbb97b74c	Bagatur/deeplake docs fixes (#9275 ) Co-authored-by: adilkhan <adilkhan.sarsen@nu.edu.kz>	1 year ago
Kunj-2206	1b3942ba74	Added BittensorLLM (#9250 ) Description: Adding NIBittensorLLM via Validator Endpoint to langchain llms Tag maintainer: @Kunj-2206 Maintainer responsibilities: Models / Prompts: @hwchase17, @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Toshish Jawale	852722ea45	Improvements in Nebula LLM (#9226 ) - Description: Added improvements in Nebula LLM to perform auto-retry; more generation parameters supported. Conversation is no longer required to be passed in the LLM object. Examples are updated. - Issue: N/A - Dependencies: N/A - Tag maintainer: @baskaryan - Twitter handle: symbldotai --------- Co-authored-by: toshishjawale <toshish@symbl.ai>	1 year ago
Bagatur	1aae77f26f	fix context nb (#9267 )	1 year ago
Alex Gamble	cf17c58b47	Update documentation for the Context integration with new URL and features (#9259 ) Update documentation and URLs for the Langchain Context integration. We've moved from getcontext.ai to context.ai \o/ Thanks in advance for the review!	1 year ago
Joseph McElroy	5e9687a196	Elasticsearch self-query retriever (#9248 ) Now with ElasticsearchStore VectorStore merged, i've added support for the self-query retriever. I've added a notebook also to demonstrate capability. I've also added unit tests. Credit @elastic and @phoey1 on twitter.	1 year ago
Anthony Mahanna	0a04e63811	docs: Update ArangoDB Links (#9251 ) ready for review - mdx link update - colab link update	1 year ago
Hech	4b505060bd	fix: max_marginal_relevance_search and docs in Dingo (#9244 )	1 year ago
axiangcoding	664ff28cba	feat(llms): support ernie chat (#9114 ) Description: support ernie (文心一言) chat model Related issue: #7990 Dependencies: None Tag maintainer: @baskaryan	1 year ago
fanyou-wbd	5e43768f61	docs: update LlamaCpp max_tokens args (#9238 ) This PR updates documentations only, `max_length` should be `max_tokens` according to latest LlamaCpp API doc: https://api.python.langchain.com/en/latest/llms/langchain.llms.llamacpp.LlamaCpp.html	1 year ago
Joshua Sundance Bailey	ef0664728e	ArcGISLoader update (#9240 ) Small bug fixes and added metadata based on user feedback. This PR is from the author of https://github.com/langchain-ai/langchain/pull/8873 .	1 year ago
Joseph McElroy	eac4ddb4bb	Elasticsearch Store Improvements (#8636 ) Todo: - [x] Connection options (cloud, localhost url, es_connection) support - [x] Logging support - [x] Customisable field support - [x] Distance Similarity support - [x] Metadata support - [x] Metadata Filter support - [x] Retrieval Strategies - [x] Approx - [x] Approx with Hybrid - [x] Exact - [x] Custom - [x] ELSER (excluding hybrid as we are working on RRF support) - [x] integration tests - [x] Documentation 👋 this is a contribution to improve Elasticsearch integration with Langchain. Its based loosely on the changes that are in master but with some notable changes: ## Package name & design improvements The import name is now `ElasticsearchStore`, to aid discoverability of the VectorStore. ```py ## Before from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch, ElasticKnnSearch ## Now from langchain.vectorstores.elasticsearch import ElasticsearchStore ``` ## Retrieval Strategy support Before we had a number of classes, depending on the strategy you wanted. `ElasticKnnSearch` for approx, `ElasticVectorSearch` for exact / brute force. With `ElasticsearchStore` we have retrieval strategies: ### Approx Example Default strategy for the vast majority of developers who use Elasticsearch will be inferring the embeddings from outside of Elasticsearch. Uses KNN functionality of _search. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index" ) output = docsearch.similarity_search("foo", k=1) ``` ### Approx, with hybrid Developers who want to search, using both the embedding and the text bm25 match. Its simple to enable. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.ApproxRetrievalStrategy(hybrid=True) ) output = docsearch.similarity_search("foo", k=1) ``` ### Approx, with `query_model_id` Developers who want to infer within Elasticsearch, using the model loaded in the ml node. This relies on the developer to setup the pipeline and index if they wish to embed the text in Elasticsearch. Example of this in the test. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.ApproxRetrievalStrategy( query_model_id="sentence-transformers__all-minilm-l6-v2" ), ) output = docsearch.similarity_search("foo", k=1) ``` ### I want to provide my own custom Elasticsearch Query You might want to have more control over the query, to perform multi-phase retrieval such as LTR, linearly boosting on document parameters like recently updated or geo-distance. You can do this with `custom_query_fn` ```py def my_custom_query(query_body: dict, query: str) -> dict: return {"query": {"match": {"text": {"query": "bar"}}}} texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), **elasticsearch_connection, index_name=index_name ) docsearch.similarity_search("foo", k=1, custom_query=my_custom_query) ``` ### Exact Example Developers who have a small dataset in Elasticsearch, dont want the cost of indexing the dims vs tradeoff on cost at query time. Uses script_score. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.ExactRetrievalStrategy(), ) output = docsearch.similarity_search("foo", k=1) ``` ### ELSER Example Elastic provides its own sparse vector model called ELSER. With these changes, its really easy to use. The vector store creates a pipeline and index thats setup for ELSER. All the developer needs to do is configure, ingest and query via langchain tooling. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.SparseVectorStrategy(), ) output = docsearch.similarity_search("foo", k=1) ``` ## Architecture In future, we can introduce new strategies and allow us to not break bwc as we evolve the index / query strategy. ## Credit On release, could you credit @elastic and @phoey1 please? Thank you! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	71d5b7c9bf	Harrison/fallbacks (#9233 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	41279a3ae1	Move self-check use case to "more" section (#9137 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	22858d99b5	Move code-writing use case to "more" section (#9134 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	249d7d06a2	adapter doc nit (#9234 )	1 year ago
Lance Martin	969e1683de	Move graph use case to "more" section (#8997 ) Clean `use_cases` by moving the `GraphDB` to `integrations`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	d0a0d560ad	Minor formatting on Web Research Use Case (#9221 )	1 year ago
Lance Martin	17ae2998e7	Update Ollama docs (#9220 ) Based on discussion w/ team.	1 year ago
Krish Dholakia	49f1d8477c	Adding ChatLiteLLM model (#9020 ) Description: Adding a langchain integration for the LiteLLM library Tag maintainer: @hwchase17, @baskaryan Twitter handle: @krrish_dh / @Berri_AI --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Emmanuel Gautier	f11e5442d6	docs: update LlamaCpp input args (#9173 ) This PR only updates the LlamaCpp args documentation. The input arg has been flattened.	1 year ago
Massimiliano Pronesti	d95eeaedbe	feat(llms): support vLLM's OpenAI-compatible server (#9179 ) This PR aims at supporting [vLLM's OpenAI-compatible server feature](https://vllm.readthedocs.io/en/latest/getting_started/quickstart.html#openai-compatible-server), i.e. allowing to call vLLM's LLMs like if they were OpenAI's. I've also udpated the related notebook providing an example usage. At the moment, vLLM only supports the `Completion` API.	1 year ago
Michael Goin	621da3c164	Adds DeepSparse as an LLM (#9184 ) Adds [DeepSparse](https://github.com/neuralmagic/deepsparse) as an LLM backend. DeepSparse supports running various open-source sparsified models hosted on [SparseZoo](https://sparsezoo.neuralmagic.com/) for performance gains on CPUs. Twitter handles: @mgoin_ @neuralmagic --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	0fa69d8988	Bagatur/zep python 1.0 (#9186 ) Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>	1 year ago
Harrison Chase	8d69dacdf3	multiple retreival in parralel (#9174 )	1 year ago
UmerHA	8aab39e3ce	Added SmartGPT workflow (issue #4463 ) (#4816 ) # Added SmartGPT workflow by providing SmartLLM wrapper around LLMs Edit: As @hwchase17 suggested, this should be a chain, not an LLM. I have adapted the PR. It is used like this: ``` from langchain.prompts import PromptTemplate from langchain.chains import SmartLLMChain from langchain.chat_models import ChatOpenAI hard_question = "I have a 12 liter jug and a 6 liter jug. I want to measure 6 liters. How do I do it?" hard_question_prompt = PromptTemplate.from_template(hard_question) llm = ChatOpenAI(model_name="gpt-4") prompt = PromptTemplate.from_template(hard_question) chain = SmartLLMChain(llm=llm, prompt=prompt, verbose=True) chain.run({}) ``` Original text: Added SmartLLM wrapper around LLMs to allow for SmartGPT workflow (as in https://youtu.be/wVzuvf9D9BU). SmartLLM can be used wherever LLM can be used. E.g: ``` smart_llm = SmartLLM(llm=OpenAI()) smart_llm("What would be a good company name for a company that makes colorful socks?") ``` or ``` smart_llm = SmartLLM(llm=OpenAI()) prompt = PromptTemplate( input_variables=["product"], template="What is a good name for a company that makes {product}?", ) chain = LLMChain(llm=smart_llm, prompt=prompt) chain.run("colorful socks") ``` SmartGPT consists of 3 steps: 1. Ideate - generate n possible solutions ("ideas") to user prompt 2. Critique - find flaws in every idea & select best one 3. Resolve - improve upon best idea & return it Fixes #4463 ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: - @hwchase17 - @agola11 Twitter: [@UmerHAdil](https://twitter.com/@UmerHAdil) \| Discord: RicChilligerDude#7589 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	45741bcc1b	Bagatur/vectara nit (#9140 ) Co-authored-by: Ofer Mendelevitch <ofer@vectara.com>	1 year ago
Dominick DEV	9b64932e55	Add LangChain utility for real-time crypto exchange prices (#4501 ) This commit adds the LangChain utility which allows for the real-time retrieval of cryptocurrency exchange prices. With LangChain, users can easily access up-to-date pricing information by running the command ".run(from_currency, to_currency)". This new feature provides a convenient way to stay informed on the latest exchange rates and make informed decisions when trading crypto. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Joshua Sundance Bailey	eaa505fb09	Create ArcGISLoader & example notebook (#8873 ) - Description: Adds the ArcGISLoader class to `langchain.document_loaders` - Allows users to load data from ArcGIS Online, Portal, and similar - Users can authenticate with `arcgis.gis.GIS` or retrieve public data anonymously - Uses the `arcgis.features.FeatureLayer` class to retrieve the data - Defines the most relevant keywords arguments and accepts `**kwargs` - Dependencies: Using this class requires `arcgis` and, optionally, `bs4.BeautifulSoup`. Tagging maintainers: - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Hai The Dude	e4418d1b7e	Added new use case docs for Web Scraping, Chromium loader, BS4 transformer (#8732 ) - Description: Added a new use case category called "Web Scraping", and a tutorial to scrape websites using OpenAI Functions Extraction chain to the docs. - Tag maintainer:@baskaryan @hwchase17 , - Twitter handle: https://www.linkedin.com/in/haiphunghiem/ (I'm on LinkedIn mostly) --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
niklub	16af5f8690	Add LabelStudio integration (#8880 ) This PR introduces [Label Studio](https://labelstud.io/) integration with LangChain via `LabelStudioCallbackHandler`: - sending data to the Label Studio instance - labeling dataset for supervised LLM finetuning - rating model responses - tracking and displaying chat history - support for custom data labeling workflow ### Example ``` chat_llm = ChatOpenAI(callbacks=[LabelStudioCallbackHandler(mode="chat")]) chat_llm([ SystemMessage(content="Always use emojis in your responses."), HumanMessage(content="Hey AI, how's your day going?"), AIMessage(content="🤖 I don't have feelings, but I'm running smoothly! How can I help you today?"), HumanMessage(content="I'm feeling a bit down. Any advice?"), AIMessage(content="🤗 I'm sorry to hear that. Remember, it's okay to seek help or talk to someone if you need to. 💬"), HumanMessage(content="Can you tell me a joke to lighten the mood?"), AIMessage(content="Of course! 🎭 Why did the scarecrow win an award? Because he was outstanding in his field! 🌾"), HumanMessage(content="Haha, that was a good one! Thanks for cheering me up."), AIMessage(content="Always here to help! 😊 If you need anything else, just let me know."), HumanMessage(content="Will do! By the way, can you recommend a good movie?"), ]) ``` <img width="906" alt="image" src="https://github.com/langchain-ai/langchain/assets/6087484/0a1cf559-0bd3-4250-ad96-6e71dbb1d2f3"> ### Dependencies - [label-studio](https://pypi.org/project/label-studio/) - [label-studio-sdk](https://pypi.org/project/label-studio-sdk/) https://twitter.com/labelstudiohq --------- Co-authored-by: nik <nik@heartex.net>	1 year ago
Bagatur	8cb2594562	Bagatur/dingo (#9079 ) Co-authored-by: gary <1625721671@qq.com>	1 year ago
Manuel Soria	31cfc00845	Code understanding use case (#8801 ) Code understanding docs --------- Co-authored-by: Manuel Soria <manuel.soria@greyscaleai.com> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Alvaro Bartolome	f7ae183f40	`ArgillaCallbackHandler` to properly use default values for `api_url` and `api_key` (#9113 ) As of the recent PR at #9043, after some testing we've realised that the default values were not being used for `api_key` and `api_url`. Besides that, the default for `api_key` was set to `argilla.apikey`, but since the default values are intended for people using the Argilla Quickstart (easy to run and setup), the defaults should be instead `owner.apikey` if using Argilla 1.11.0 or higher, or `admin.apikey` if using a lower version of Argilla. Additionally, we've removed the f-string replacements from the docstrings. --------- Co-authored-by: Gabriel Martin <gabriel@argilla.io>	1 year ago
Bagatur	0e5d09d0da	dalle nb fix (#9125 )	1 year ago
Francisco Ingham	9249d305af	tagging docs refactor (#8722 ) refactor of tagging use case according to new format --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Ashutosh Sanzgiri	991b448dfc	minor edits (#9093 ) Description: Minor edit to PR#845 Thanks!	1 year ago
Chenyu Zhao	c0acbdca1b	Update Fireworks model names (#9085 )	1 year ago
Charles Lanahan	a2588d6c57	Update openai embeddings notebook with correct embedding model in section 2 (#5831 ) In second section it looks like a copy/paste from the first section and doesn't include the specific embedding model mentioned in the example so I added it for clarity. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Josh Phillips	5fc07fa524	change id column type to uuid to match function (#7456 ) The table creation process in these examples commands do not match what the recently updated functions in these example commands is looking for. This change updates the type in the table creation command. Issue Number for my report of the doc problem #7446 @rlancemartin and @eyurtsev I believe this is your area Twitter: @j1philli Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bidhan Roy	02430e25b6	BagelDB (bageldb.ai), VectorStore integration. (#8971 ) - Description: [BagelDB](bageldb.ai) a collaborative vector database. Integrated the bageldb PyPi package with langchain with related tests and code. - Issue: Not applicable. - Dependencies: `betabageldb` PyPi package. - Tag maintainer: @rlancemartin, @eyurtsev, @baskaryan - Twitter handle: bageldb_ai (https://twitter.com/BagelDB_ai) We ran `make format`, `make lint` and `make test` locally. Followed the contribution guideline thoroughly https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --------- Co-authored-by: Towhid1 <nurulaktertowhid@gmail.com>	1 year ago
Harrison Chase	bb6fbf4c71	openai adapters (#8988 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
Piyush Jain	8eea46ed0e	Bedrock embeddings async methods (#9024 ) ## Description This PR adds the `aembed_query` and `aembed_documents` async methods for improving the embeddings generation for large documents. The implementation uses asyncio tasks and gather to achieve concurrency as there is no bedrock async API in boto3. ### Maintainers @agola11 @aarora79 ### Open questions To avoid throttling from the Bedrock API, should there be an option to limit the concurrency of the calls?	1 year ago
Eugene Yurtsev	a5a4c53280	RedisStore: Update init and Documentation updates (#9044 ) * Update Redis Store to support init from parameters * Update notebook to show how to use redis store, and some fixes in documentation	1 year ago
Blake (Yung Cher Ho)	8d351bfc20	Takeoff integration (#9045 ) ## Description: This PR adds the Titan Takeoff Server to the available LLMs in LangChain. Titan Takeoff is an inference server created by [TitanML](https://www.titanml.co/) that allows you to deploy large language models locally on your hardware in a single command. Most generative model architectures are included, such as Falcon, Llama 2, GPT2, T5 and many more. Read more about Titan Takeoff here: - [Blog](https://medium.com/@TitanML/introducing-titan-takeoff-6c30e55a8e1e) - [Docs](https://docs.titanml.co/docs/titan-takeoff/getting-started) #### Testing As Titan Takeoff runs locally on port 8000 by default, no network access is needed. Responses are mocked for testing. - [x] Make Lint - [x] Make Format - [x] Make Test #### Dependencies No new dependencies are introduced. However, users will need to install the titan-iris package in their local environment and start the Titan Takeoff inferencing server in order to use the Titan Takeoff integration. Thanks for your help and please let me know if you have any questions. cc: @hwchase17 @baskaryan	1 year ago
Eugene Yurtsev	5e05ba2140	Add embeddings cache (#8976 ) This PR adds the ability to temporarily cache or persistently store embeddings. A notebook has been included showing how to set up the cache and how to use it with a vectorstore.	1 year ago
Lance Martin	2380492c8e	API use case (#8546 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Luca Foppiano	dfb93dd2b5	Improved grobid documentation (#9025 ) - Description: Improvement in the Grobid loader documentation, typos and suggesting to use the docker image instead of installing Grobid in local (the documentation was also limited to Mac, while docker allow running in any platform) - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @whitenoise	1 year ago
Piyush Jain	3b51817706	Updating port and ssl use in sample notebook (#8995 ) ## Description This PR updates the sample notebook to use the default port (8182) and the ssl for the Neptune database connection.	1 year ago
Jerzy Czopek	539672a7fd	Feature/fix azureopenai model mappings (#8621 ) This pull request aims to ensure that the `OpenAICallbackHandler` can properly calculate the total cost for Azure OpenAI chat models. The following changes have resolved this issue: - The `model_name` has been added to the ChatResult llm_output. Without this, the default values of `gpt-35-turbo` were applied. This was causing the total cost for Azure OpenAI's GPT-4 to be significantly inaccurate. - A new parameter `model_version` has been added to `AzureChatOpenAI`. Azure does not include the model version in the response. With the addition of `model_name`, this is not a significant issue for GPT-4 models, but it's an issue for GPT-3.5-Turbo. Version 0301 (default) of GPT-3.5-Turbo on Azure has a flat rate of 0.002 per 1k tokens for both prompt and completion. However, version 0613 introduced a split in pricing for prompt and completion tokens. - The `OpenAICallbackHandler` implementation has been updated with the proper model names, versions, and cost per 1k tokens. Unit tests have been added to ensure the functionality works as expected; the Azure ChatOpenAI notebook has been updated with examples. Maintainers: @hwchase17, @baskaryan Twitter handle: @jjczopek --------- Co-authored-by: Jerzy Czopek <jerzy.czopek@avanade.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	7de6a1b78e	parent document retriever (#8941 )	1 year ago
Taqi Jaffri	5919c0f4a2	notebook cleanup	1 year ago
Taqi Jaffri	bcdf3be530	Merge branch 'master' into tjaffri/docugami_loader_source	1 year ago
arjunbansal	a2681f950d	add instructions on integrating Log10 (#8938 ) - Description: Instruction for integration with Log10: an [open source](https://github.com/log10-io/log10) proxiless LLM data management and application development platform that lets you log, debug and tag your Langchain calls - Tag maintainer: @baskaryan - Twitter handle: @log10io @coffeephoenix Several examples showing the integration included [here](https://github.com/log10-io/log10/tree/main/examples/logging) and in the PR	1 year ago
Aarav Borthakur	3f64b8a761	Integrate Rockset as a chat history store (#8940 ) Description: Adds Rockset as a chat history store Dependencies: no changes Tag maintainer: @hwchase17 This PR passes linting and testing. I added a test for the integration and an example notebook showing its use.	1 year ago
Bagatur	0a1be1d501	document lcel fallbacks (#8942 )	1 year ago
Molly Cantillon	99b5a7226c	Weaviate: adding auth example + fixing spelling in ReadME (#8939 ) Added basic auth example to Weaviate notebook @baskaryan	1 year ago
Joe Reuter	8f0cd91d57	Airbyte based loaders (#8586 ) This PR adds 8 new loaders: * `AirbyteCDKLoader` This reader can wrap and run all python-based Airbyte source connectors. * Separate loaders for the most commonly used APIs: * `AirbyteGongLoader` * `AirbyteHubspotLoader` * `AirbyteSalesforceLoader` * `AirbyteShopifyLoader` * `AirbyteStripeLoader` * `AirbyteTypeformLoader` * `AirbyteZendeskSupportLoader` ## Documentation and getting started I added the basic shape of the config to the notebooks. This increases the maintenance effort a bit, but I think it's worth it to make sure people can get started quickly with these important connectors. This is also why I linked the spec and the documentation page in the readme as these two contain all the information to configure a source correctly (e.g. it won't suggest using oauth if that's avoidable even if the connector supports it). ## Document generation The "documents" produced by these loaders won't have a text part (instead, all the record fields are put into the metadata). If a text is required by the use case, the caller needs to do custom transformation suitable for their use case. ## Incremental sync All loaders support incremental syncs if the underlying streams support it. By storing the `last_state` from the reader instance away and passing it in when loading, it will only load updated records. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	7543a3d70e	Harrison/image (#845 ) Co-authored-by: Ashutosh Sanzgiri <sanzgiri@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Ganeline	33a2f58fbf	`tensoflow_datasets` document loader (#8721 ) This PR adds `tensoflow_datasets` document loader	1 year ago
Leonid Ganeline	2d078c7767	`PubMed` document loader (#8893 ) - added `PubMed Document Loader` artifacts; ut-s; examples - fixed `PubMed utility`; ut-s @hwchase17	1 year ago
Seif	6327eecdaf	Fix typo in Vectara docs (#8925 ) Fixed a typo in the Vectara docs description.	1 year ago
David vonThenen	bf4a112aa6	Fixes to the Nebula LLM Integration (#8918 ) This addresses some issues with introducing the Nebula LLM to LangChain in this PR: https://github.com/langchain-ai/langchain/pull/8876 This fixes the following: - Removes `SYMBLAI` from variable names - Fixes bug with `Bearer` for the API KEY Thanks again in advance for your help! cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <david.vonthenen@gmail.com>	1 year ago
Josh Hart	6116cbf0de	Fix imports in awslambda docs (#8916 ) Minor doc fix to awslambda tool notebook. Add missing import for initialize_agent to awslambda agent example Co-authored-by: Josh Hart <josharj@amazon.com>	1 year ago
Maurits de Groot	61c2d918c6	Fixed inaccurate import in integrations:providers:bedrock documentation (#8915 ) Description: Fixed inaccurate import in integrations:providers:bedrock documentation In the current version of the bedrock documentation, page https://python.langchain.com/docs/integrations/providers/bedrock it states that the import is from langchain import Bedrock This has been changed to from langchain.llms.bedrock import Bedrock as stated in https://python.langchain.com/docs/integrations/llms/bedrock Issue: Not applicable Dependencies No dependencies required Tag maintainer @baskaryan Twitter handle: Not applicable	1 year ago
Manuel Soria	e74a605379	SQL use case docs (#8513 )	1 year ago
Jacob Lee	fa30a57034	Adds Ollama as an LLM (#8829 ) Adds Ollama as an LLM. Ollama can run various open source models locally e.g. Llama 2 and Vicuna, automatically configuring and GPU-optimizing them. @rlancemartin @hwchase17 --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Ash Vardanian	1f9124ceaa	Add: USearch Vector Store (#8835 ) ## Description I am excited to propose an integration with USearch, a lightweight vector-search engine available for both Python and JavaScript, among other languages. ## Dependencies It introduces a new PyPi dependency - `usearch`. I am unsure if it must be added to the Poetry file, as this would make the PR too clunky. Please let me know. ## Profiles - Maintainers: @ashvardanian @davvard - Twitter handles: @ashvardanian @unum_cloud --------- Co-authored-by: Davit Vardanyan <78792753+davvard@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Kuligin	b52a3785c9	Allow to specify a custom loader for GcsFileLoader (#8868 ) Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Jeffrey Wang	ff44fe4e16	Change default Metaphor search example to use prompt optimizer (#8890 ) - fix install command - change example notebook to use Metaphor autoprompt by default <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Jeffrey Wang	ce3666c28b	Fix metaphor install command in guide (#8888 )	1 year ago
Harrison Chase	bbd22b9b76	update metaphor docs (#8886 )	1 year ago
Carson	cc908d49a3	Fixes typo in documentation (#8882 ) Fixes a simple typo in the google search engine tool documentation @baskaryan	1 year ago
Joshua Sundance Bailey	7fc07ba5df	Create ChatAnyscale (#8770 ) - Description: Adds the ChatAnyscale class with llama-2 7b, llama-2 13b, and llama-2 70b on [Anyscale Endpoints](https://app.endpoints.anyscale.com/) - It inherits from ChatOpenAI and requires openai (probably unnecessary but it made for a quick and easy implementation) - Inspired by https://github.com/langchain-ai/langchain/pull/8434 (@kylehh and @baskaryan )	1 year ago
David vonThenen	40079d4936	Introduce Nebula LLM to LangChain (#8876 ) ## Description This PR adds Nebula to the available LLMs in LangChain. Nebula is an LLM focused on conversation understanding and enables users to extract conversation insights from video, audio, text, and chat-based conversations. These conversations can occur between any mix of human or AI participants. Examples of some questions you could ask Nebula from a given conversation are: - What could be the customer’s pain points based on the conversation? - What sales opportunities can be identified from this conversation? - What best practices can be derived from this conversation for future customer interactions? You can read more about Nebula here: https://symbl.ai/blog/extract-insights-symbl-ai-generative-ai-recall-ai-meetings/ #### Integration Test An integration test is added, but it requires network access. Since Nebula is fully managed like OpenAI, network access is required to exercise the integration test. #### Linting - [x] make lint - [x] make test (TODO: there seems to be a failure in another non-related test??? Need to check on this.) - [x] make format ### Dependencies No new dependencies were introduced. ### Twitter handle [@symbldotai](https://twitter.com/symbldotai) [@dvonthenen](https://twitter.com/dvonthenen) If you have any questions, please let me know. cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <david.vonthenen@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	84c1ad7eaa	Fix colab link for extraction ntbk (#8878 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Nuno Campos	9892e95d03	Add flush=True to stream examples (#8862 )	1 year ago
manmax31	40096c73cd	Add BGE embeddings support (#8848 ) - Description: [BGE-large](https://huggingface.co/BAAI/bge-large-en) embeddings from BAAI are at the top of [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard). Hence adding support for it. - Tag maintainer: @baskaryan - Twitter handle: @ManabChetia3 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Tudor Golubenco	aeaef8f3a3	Add support for Xata as a vector store (#8822 ) This adds support for [Xata](https://xata.io) (data platform based on Postgres) as a vector store. We have recently added [Xata to Langchain.js](https://github.com/hwchase17/langchainjs/pull/2125) and would love to have the equivalent in the Python project as well. The PR includes integration tests and a Jupyter notebook as docs. Please let me know if anything else would be needed or helpful. I have added the xata python SDK as an optional dependency. ## To run the integration tests You will need to create a DB in xata (see the docs), then run something like: ``` OPENAI_API_KEY=sk-... XATA_API_KEY=xau_... XATA_DB_URL='https://....xata.sh/db/langchain' poetry run pytest tests/integration_tests/vectorstores/test_xata.py ``` <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Philip Krauss <35487337+philkra@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	472f00ada7	add moderation example (#8718 )	1 year ago
Massimiliano Pronesti	a616e19975	feat(llms): add support for vLLM (#8806 ) Hello langchain maintainers, this PR aims at integrating [vllm](https://vllm.readthedocs.io/en/latest/#) into langchain. This PR closes #8729. This feature clearly depends on `vllm`, but I've seen other models supported here depend on packages that are not included in the pyproject.toml (e.g. `gpt4all`, `text-generation`) so I thought it was the case for this as well. @hwchase17, @baskaryan --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Karthik Raja A	5a9765b1b5	MultiOn client toolkit update 2.0 (#8750 ) - Updated to use newer better function interaction - Previous version had only one callback - @hinthornw @hwchase17 Can you look into this - Shout out to @MultiON_AI @DivGarg9 on twitter --------- Co-authored-by: Naman Garg <ngarg3@binghamton.edu> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Zend	bd4865b6fe	Async Recursive URL loader (#8502 ) Description: This PR improves the function of recursive_url_loader, such as limiting the depth of the access, and customizable extractors(from the raw webpage to the text of the Document object), so that users can use other tools to extract the webpage. This PR also includes the document and test for the new loader. Old PR closed due to project structure change. #7756 Because socket requests are not allowed, the old unit test was removed. Issue: N/A Dependencies: asyncio, aiohttp Tag maintainer: @rlancemartin Twitter handle: @ Zend_Nihility --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
fqassemi	485d716c21	Feature faiss delete (#8135 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: docstore had two main method: add and search, however, dealing with docstore sometimes requires deleting an entry from docstore. So I have added a simple delete method that deletes items from docstore. Additionally, I have added the delete method to faiss vectorstore for the very same reason. - Issue: NA - Dependencies: NA - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Ikko Eltociear Ashimine	6b93670410	Fix typo in long_context_reorder.ipynb (#8811 ) begining -> beginning <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Harrison Chase	2bb1d256f3	add example of memory and returning retrieved docs (#8830 )	1 year ago
Kshitij Wadhwa	5f1aab5487	Fix docs for Rockset (#8807 ) * remove error output for notebook * add comment about vector length for ingest transformation * change OPENAI_KEY -> OPENAI_API_KEY cc @baskaryan	1 year ago
Bagatur	d7b613a293	Bagatur/revert revert nuclia (#8833 )	1 year ago
Bagatur	2f309a4ce6	Revert "Bagatur/nuclia (#8404 )" (#8832 )	1 year ago
Snehil Kumar	1bd4890506	Update links on QA Use Case docs (#8784 ) - Description: 2 links were not working on Question Answering Use Cases documentation page. Hence, changed them to nearest useful links, - Issue: NA, - Dependencies: NA, - Tag maintainer: @baskaryan, - Twitter handle: NA <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Bal Narendra Sapa	a22d502248	added the embeddings part (#8805 ) Description: forgot to add the embeddings part in the documentation. sorry 😅 @baskaryan	1 year ago
Bagatur	9fc9018951	Bagatur/nuclia (#8404 ) Co-authored-by: Eric BREHAULT <ebrehault@gmail.com>	1 year ago
Francisco Ingham	ef5bc1fef1	Refactor for extraction docs (#8465 ) Refactor for the extraction use case documentation --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Joshua Carroll	e5fed7d535	Extend the StreamlitChatMessageHistory docs with a fuller example and… (#8774 ) Add more details to the [notebook for StreamlitChatMessageHistory](https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history), including a link to a [running example app](https://langchain-st-memory.streamlit.app/). Original PR: https://github.com/langchain-ai/langchain/pull/8497	1 year ago
Dayou Liu	91a0817e39	docs: llamacpp minor fixes (#8738 ) - Description: minor updates on llama cpp doc	1 year ago
Bal Narendra Sapa	bd61757423	add documentation for serializer function (#8769 ) Description: Added necessary documentation for serializer functions @baskaryan	1 year ago
rjanardhan3	affaaea87b	Updates fireworks (#8765 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Updates to Fireworks Documentation, - Issue: N/A, - Dependencies: N/A, - Tag maintainer: @rlancemartin, --------- Co-authored-by: Raj Janardhan <rajjanardhan@Rajs-Laptop.attlocal.net>	1 year ago
Bagatur	8c35fcb571	update rss doc (#8761 )	1 year ago
Bagatur	0d5a90f30a	Revert "add filter to sklearn vector store functions (#8113 )" (#8760 )	1 year ago
Lance Martin	be638ad77d	Chatbots use case (#8554 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Ruiqi Guo	6aee589eec	Add ScaNN support in vectorstore. (#8251 ) Description: Add ScaNN vectorstore to langchain. ScaNN is a Open Source, high performance vector similarity library optimized for AVX2-enabled CPUs. https://github.com/google-research/google-research/tree/master/scann - Dependencies: scann Python notebook to illustrate the usage: docs/extras/integrations/vectorstores/scann.ipynb Integration test: libs/langchain/tests/integration_tests/vectorstores/test_scann.py @rlancemartin, @eyurtsev for review. Thanks!	1 year ago
shibuiwilliam	0f0ccfe7f6	add filter to sklearn vector store functions (#8113 ) # What - This is to add filter option to sklearn vectore store functions <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Add filter to sklearn vectore store functions. - Issue: None - Dependencies: None - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @MlopsJ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
shibuiwilliam	2759e2d857	add save and load tfidf vectorizer and docs for TFIDFRetriever (#8112 ) This is to add save_local and load_local to tfidf_vectorizer and docs in tfidf_retriever to make the vectorizer reusable. <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: add save_local and load_local to tfidf_vectorizer and docs in tfidf_retriever - Issue: None - Dependencies: None - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @MlopsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Lance Martin	d1b95db874	Retriever that can re-phase user inputs (#8026 ) Simple retriever that applies an LLM between the user input and the query pass the to retriever. It can be used to pre-process the user input in any way. The default prompt: ``` DEFAULT_QUERY_PROMPT = PromptTemplate( input_variables=["question"], template="""You are an assistant tasked with taking a natural languge query from a user and converting it into a query for a vectorstore. In this process, you strip out information that is not relevant for the retrieval task. Here is the user query: {question} """ ) ``` --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	6c3573e7f6	Harrison/aleph alpha (#8735 ) Co-authored-by: PiotrMazurek <piotr.mazurek@aleph-alpha.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Ofer Mendelevitch	29f51055e8	Updates to Vectara documentation (#8699 ) - Description: updates to Vectara documentation with more details on how to get started. - Issue: NA - Dependencies: NA - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @vectara, @ofermend --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
ruze	8ef7e14a85	RSS Feed / OPML loader (#8694 ) Replace this comment with: - Description: added a document loader for a list of RSS feeds or OPML. It iterates through the list and uses NewsURLLoader to load each article. - Issue: N/A - Dependencies: feedparser, listparser - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @ruze --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	b2b71b0d35	Bagatur/eden llm (#8670 ) Co-authored-by: RedhaWassim <rwasssim@gmail.com> Co-authored-by: KyrianC <ckyrian@protonmail.com> Co-authored-by: sam <melaine.samy@gmail.com>	1 year ago
axa99	1f54ec899b	updated interface jupyter notebook explanations (#8689 ) Updated the documentation in the interface.ipynb to clearly show the _input_ and _output_ types for various components @baskaryan	1 year ago
Lance Martin	37aade19da	Minor formatting and additional figure for summarization use case (#8663 )	1 year ago
Harrison Chase	43dffe39fb	Harrison/conversational retrieval agent (#8639 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
ruze	71f98db2fe	Newspaper (#8647 ) - Description: Added newspaper3k based news article loader. Provide a list of urls. - Issue: N/A - Dependencies: newspaper3k, - Tag maintainer: @rlancemartin , @eyurtsev - Twitter handle: @ruze --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	59194c2214	Add summarization use-case (#8376 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Ganeline	1335f2b9f8	`MLflow` examples (#8642 ) Updated `MLflow` examples with links to the examples from MLflow @baskaryan	1 year ago
Comendeiro	5c516945d0	Add local support for audio models (PR #7329 ) (#7591 ) - Description: run the poetry dependencies - Issue: #7329 - Dependencies: any dependencies required for this change, - Tag maintainer: @rlancemartin --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
rjanardhan3	68113348cc	Fireworks integration (#8322 ) Description - Integrates Fireworks within Langchain LLMs to allow users to use Fireworks models with Langchain, mainly for summarization. Issue - Not applicable Dependencies - None Tag maintainer - @rlancemartin --------- Co-authored-by: Raj Janardhan <rajjanardhan@Rajs-Laptop.attlocal.net>	1 year ago
Taqi Jaffri	4806504ebc	Fixed one last key name	1 year ago
Joshua Carroll	6705928b9d	Add StreamlitChatMessageHistory (#8497 ) Add a StreamlitChatMessageHistory class that stores chat messages in [Streamlit's Session State](https://docs.streamlit.io/library/api-reference/session-state). Note: The integration test uses a currently-experimental Streamlit testing framework to simulate the execution of a Streamlit app. Marking this PR as draft until I confirm with the Streamlit team that we're comfortable supporting it. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Matt Robinson	8961c720b8	docs: update `unstructured` install instructions (#8596 ) ### Summary Updates the `unstructured` install instructions. For `unstructured>=0.9.0`, dependencies are broken out by document type and the base `unstructured` package includes fewer dependencies. `pip install "unstructured[local-inference]"` has been replace by `pip install "unstructured[all-docs]"`, though the `local-inference` extra is still supported for the time being. ### Reviewers - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Bagatur	73072d3db8	mv (#8595 )	1 year ago
Tesfagabir Meharizghi	a7000ee89e	Callback handler for Amazon SageMaker Experiments (#8587 ) ## Description This PR implements a callback handler for SageMaker Experiments which is similar to that of mlflow. * When creating the callback handler, it takes the experiment's run object as an argument. All the callback outputs are then logged to the run object. * The output of each callback action (e.g., `on_llm_start`) is saved to S3 bucket as json file. * Optionally, you can also log additional information such as the LLM hyper-parameters to the same run object. * Once the callback object is no more needed, you will need to call the `flush_tracker()` method. This makes sure that any intermediate files are deleted. * A separate notebook example is provided to show how the callback is used. @3coins @agola11 --------- Co-authored-by: Tesfagabir Meharizghi <mehariz@amazon.com>	1 year ago
Taqi Jaffri	96843f3bd4	Fixed source key name for docugami loader	1 year ago
mpb159753	7df2dfc4c2	Add Support for Loading Documents from Huawei OBS (#8573 ) Description: This PR adds support for loading documents from Huawei OBS (Object Storage Service) in Langchain. OBS is a cloud-based object storage service provided by Huawei Cloud. With this enhancement, Langchain users can now easily access and load documents stored in Huawei OBS directly into the system. Key Changes: - Added a new document loader module specifically for Huawei OBS integration. - Implemented the necessary logic to authenticate and connect to Huawei OBS using access credentials. - Enabled the loading of individual documents from a specified bucket and object key in Huawei OBS. - Provided the option to specify custom authentication information or obtain security tokens from Huawei Cloud ECS for easy access. How to Test: 1. Ensure the required package "esdk-obs-python" is installed. 2. Configure the endpoint, access key, secret key, and bucket details for Huawei OBS in the Langchain settings. 3. Load documents from Huawei OBS using the updated document loader module. 4. Verify that documents are successfully retrieved and loaded into Langchain for further processing. Please review this PR and let us know if any further improvements are needed. Your feedback is highly appreciated! @rlancemartin, @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	66226d1d4d	add example for memory (#8552 )	1 year ago
DJ Atha	ec40ead980	Fixed bug7445 where a duplicate restuld_id is added to the vectorstore. (#7573 ) - Description: updated BabyAGI examples to append the iteration to the result id to fix error storing data to vectorstore. - Issue: 7445 - Dependencies: no - Tag maintainer: @eyurtsev - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! This fix worked for me locally. Happy to take some feedback and iterate on a better solution. I was considering appending a uuid instead but didnt want to over complicate the example.	1 year ago
Kenny	1e8fca5518	Add ConcurrentLoader (#7512 ) Works just like the GenericLoader but concurrently for those who choose to optimize their workflow. @rlancemartin @eyurtsev --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Danny Davenport	8d2344db43	updates some spelling mistakes (#8537 ) Just updating some spelling / grammar issues in the documentation. No code changes. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Leonid Kuligin	b4a126ae71	Updated docs on Vertex AI going GA (#8531 ) #8074 Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Harrison Chase	bca0749a11	conversational retrieval chain in lcel (#8532 )	1 year ago
Jeff Huber	07d6d1ca38	fix error in chroma docker instructions (#8533 ) This makes the Chroma instructions for Docker work! https://python.langchain.com/docs/integrations/vectorstores/chroma#basic-example-using-the-docker-container	1 year ago
Matthew DeGuzman	844eca98d5	Add LLaMa Formatter and AzureML Chat Endpoint (#8382 ) ## Description Microsoft and Meta recently [announced their collaboration](https://blogs.microsoft.com/blog/2023/07/18/microsoft-and-meta-expand-their-ai-partnership-with-llama-2-on-azure-and-windows/) on LLaMa2. This PR extends the current LLM wrapper and introduces a new Chat Model wrapper for AzureML to support LLaMa2. ## Dependencies No dependencies added :) ## Twitter Handles [@matthew_d13](https://twitter.com/matthew_d13) [@prakhar_in](https://twitter.com/prakhar_in) maintainers - @hwchase17, @baskaryan	1 year ago
Anthony Mahanna	1ab773c742	docs: Update ArangoDB Colab URL (#8547 ) 1-commit PR to update the Google Colab URL of the ArangoDB Graph QA Chain notebook	1 year ago
Harrison Chase	5e3b968078	router runnable (#8496 ) Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
Anubhav Bindlish	913a156cff	Minor improvements to rockset vectorstore (#8416 ) This PR makes minor improvements to our python notebook, and adds support for `Rockset` workspaces in our vectorstore client. @rlancemartin, @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	893f3014af	add xml agent notebook	1 year ago
Harrison Chase	6556a8fcfd	add initial anthropic agent (#8468 ) Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
Muhammed Al-Dulaimi	9975ba4124	Fix ChromaDB integration -> docker container instructions (#8447 ) ## Description This PR handles modifying the Chroma DB integration's documentation. It modifies the Docker container example to fix the instructions mentioned in the documentation. In the current documentation, the below `client.reset()` line causes a runtime error: ```py ... client = chromadb.HttpClient(settings=Settings(allow_reset=True)) client.reset() # resets the database collection = client.create_collection("my_collection") ... ``` `Exception: {"error":"ValueError('Resetting is not allowed by this configuration')"}` This is due to the Chroma DB server needing to have the `allow_reset` flag set to `true` there as well. This is fixed by adding the `ALLOW_RESET=TRUE` to the `docker-compose` file environment variable to the docker container before spinning it ## Issue This fixes the runtime error that occurs when running the docker container example code ## Tag Maintainer @rlancemartin, @eyurtsev	1 year ago
Nicolas Raoul	7f9c6c3baa	Fixed typo: papaer -> paper (#8500 )	1 year ago
Piyush Jain	b2f8a5bae9	Fixed exports for NeptuneOpenCypherQAChain (#8439 ) ## Description The imports for `NeptuneOpenCypherQAChain` are failing. This PR adds the chain class to the `__init__.py` file to fix this issue. ## Maintainers @dev2049 @krlawrence	1 year ago
Ludwig Hubert	08f5e6b801	Fix documentation for from_documents signature (#8482 ) Docs for from_documents() were outdated as seen in https://github.com/langchain-ai/langchain/issues/8457 . fixes #8457 <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Muneeb Ahmad	4923cf029a	Added Proper Documentation for `faiss-gpu` Installation (#8492 ) ### Description In the LangChain Documentation and Comments, I've Noticed that `pip install faiss` was mentioned, instead of `pip install faiss-gpu`, since installing `pip install faiss` results in an error. I've gone ahead and updated the Documentation, and `faiss.ipynb`. This Change will ensure ease of use for the end user, trying to install `faiss-gpu`. ### Issue: Documentation / Comments Related. ### Dependencies: No Dependencies we're changed only updated the files with the wrong reference. ### Tag maintainer: @rlancemartin, @eyurtsev (Thank You for your contributions 😄 )	1 year ago
Harrison Chase	8f14ddefdf	add anthropic functions wrapper (#8475 ) a cheeky wrapper around claude that adds in function calling support (kind of, hence it going in experimental)	1 year ago
Harrison Chase	ae4638aa35	improve notebooks (#8461 )	1 year ago
Harrison Chase	412fa4e1db	add guide notebook (#8258 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
William FH	b7c0eb9ecb	Wfh/ref links (#8454 )	1 year ago
Harrison Chase	17953ab61f	add notebook for sql query (#8442 )	1 year ago
Zack Proser	3892cefac6	Minor fixes to enhance notebook usability: (#8389 ) - Install langchain - Set Pinecone API key and environment as env vars - Create Pinecone index if it doesn't already exist --- - Description: Fix a couple minor issues I came across when running this notebook, - Issue: the issue # it fixes (if applicable), - Dependencies: none, - Tag maintainer: @rlancemartin @eyurtsev, - Twitter handle: @zackproser (certainly not necessary!)	1 year ago
Amélie	8ee56b9a5b	Feature: Add support for meilisearch vectorstore (#7649 ) Description: Add support for Meilisearch vector store. Resolve #7603 - No external dependencies added - A notebook has been added @rlancemartin https://twitter.com/meilisearch Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	2311d57df4	mv dropbox (#8438 )	1 year ago
HeTaoPKU	d5884017a9	Add Minimax llm model to langchain (#7645 ) - Description: Minimax is a great AI startup from China, recently they released their latest model and chat API, and the API is widely-spread in China. As a result, I'd like to add the Minimax llm model to Langchain. - Tag maintainer: @hwchase17, @baskaryan --------- Co-authored-by: the <tao.he@hulu.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jiayi Ni	1efb9bae5f	FEAT: Integrate Xinference LLMs and Embeddings (#8171 ) - [Xorbits Inference(Xinference)](https://github.com/xorbitsai/inference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. Xinference supports a variety of GGML-compatible models including chatglm, whisper, and vicuna, and utilizes heterogeneous hardware and a distributed architecture for seamless cross-device and cross-server model deployment. - This PR integrates Xinference models and Xinference embeddings into LangChain. - Dependencies: To install the depenedencies for this integration, run `pip install "xinference[all]"` - Example Usage: To start a local instance of Xinference, run `xinference`. To deploy Xinference in a distributed cluster, first start an Xinference supervisor using `xinference-supervisor`: `xinference-supervisor -H "${supervisor_host}"` Then, start the Xinference workers using `xinference-worker` on each server you want to run them on. `xinference-worker -e "http://${supervisor_host}:9997"` To use Xinference with LangChain, you also need to launch a model. You can use command line interface (CLI) to do so. Fo example: `xinference launch -n vicuna-v1.3 -f ggmlv3 -q q4_0`. This launches a model named vicuna-v1.3 with `model_format="ggmlv3"` and `quantization="q4_0"`. A model UID is returned for you to use. Now you can use Xinference with LangChain: ```python from langchain.llms import Xinference llm = Xinference( server_url="http://0.0.0.0:9997", # suppose the supervisor_host is "0.0.0.0" model_uid = {model_uid} # model UID returned from launching a model ) llm( prompt="Q: where can we visit in the capital of France? A:", generate_config={"max_tokens": 1024}, ) ``` You can also use RESTful client to launch a model: ```python from xinference.client import RESTfulClient client = RESTfulClient("http://0.0.0.0:9997") model_uid = client.launch_model(model_name="vicuna-v1.3", model_size_in_billions=7, quantization="q4_0") ``` The following code block demonstrates how to use Xinference embeddings with LangChain: ```python from langchain.embeddings import XinferenceEmbeddings xinference = XinferenceEmbeddings( server_url="http://0.0.0.0:9997", model_uid = model_uid ) ``` ```python query_result = xinference.embed_query("This is a test query") ``` ```python doc_result = xinference.embed_documents(["text A", "text B"]) ``` Xinference is still under rapid development. Feel free to [join our Slack community](https://xorbitsio.slack.com/join/shared_invite/zt-1z3zsm9ep-87yI9YZ_B79HLB2ccTq4WA) to get the latest updates! - Request for review: @hwchase17, @baskaryan - Twitter handle: https://twitter.com/Xorbitsio --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Gordon Clark	e66759cc9d	Github add "Create PR" tool + Docs update (#8235 ) Added a new tool to the Github toolkit called Create Pull Request. Now we can make our own langchain contributor in langchain 😁 In order to have somewhere to pull from, I also added a new env var, "GITHUB_BASE_BRANCH." This will allow the existing env var, "GITHUB_BRANCH," to be a working branch for the bot (so that it doesn't have to always commit on the main/master). For example, if you want the bot to work in a branch called `bot_dev` and your repo base is `main`, you would set up the vars like: ``` GITHUB_BASE_BRANCH = "main" GITHUB_BRANCH = "bot_dev" ``` Maintainer responsibilities: - Agents / Tools / Toolkits: @hinthornw	1 year ago
William FH	ecd4aae818	Few Shot Chat Prompt (#8038 ) Proposal for a few shot chat message example selector --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Karan V	a003a0baf6	fix(petals) allows to run models that aren't Bloom (Support for LLama and newer models) (#8356 ) In this PR: - Removed restricted model loading logic for Petals-Bloom - Removed petals imports (DistributedBloomForCausalLM, BloomTokenizerFast) - Instead imported more generalized versions of loader (AutoDistributedModelForCausalLM, AutoTokenizer) - Updated the Petals example notebook to allow for a successful installation of Petals in Apple Silicon Macs - Tag maintainer: @hwchase17, @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	25b8cc7e3d	Harrison/update memory docs (#8384 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Taozhi Wang	594f195e54	Add embeddings for AwaEmbedding (#8353 ) - Description: Adds AwaEmbeddings class for embeddings, which provides users with a convenient way to do fine-tuning, as well as the potential need for multimodality - Tag maintainer: @baskaryan Create `Awa.ipynb`: an example notebook for AwaEmbeddings class Modify `embeddings/__init__.py`: Import the class Create `embeddings/awa.py`: The embedding class Create `embeddings/test_awa.py`: The test file. --------- Co-authored-by: taozhiwang <taozhiwa@gmail.com>	1 year ago
bheroder	dc3ca44e05	Add an example for azure ml managed feature store (#8324 ) We are adding an example of how one can connect to azure ml managed feature store and use such a prompt template in a llm chain. @baskaryan	1 year ago
evelynmitchell	539574670c	Update tot.ipynb (#8387 ) Spelling error fix <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Sachin Varghese	01217b2247	Update sql database agent example (#8354 ) This PR fixes a minor documentation issue on the SQL database toolkit example notebook.	1 year ago
Bagatur	55beab326c	cleanup warnings (#8379 )	1 year ago
Bagatur	68763bd25f	mv popular and additional chains to use cases (#8242 )	1 year ago
William FH	94a693e2ee	Link to use cases from tutorials (#8371 )	1 year ago

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