langchain

Commit Graph

Author	SHA1	Message	Date
Leonid Ganeline	056e59672b	docs: `DeepLake` example (#9663 ) Updated the `Deep Lake` example. Added a link to an example provided by Activeloop.	1 year ago
seamusp	43c4c6dfcc	docs: misc modelIO fixes (#9734 ) Various improvements to the Model I/O section of the documentation - Changed "Chat Model" to "chat model" in a few spots for internal consistency - Minor spelling & grammar fixes to improve readability & comprehension	1 year ago
Nino Risteski	433c4a721e	typo in locall llms fixed (#9755 ) Hi, I noticed a typo in the local_llms.ipynb file and fixed it. The word challenge is without 'a' in the original file. @baskaryan , @eyurtsev Thanks. Co-authored-by: Fliprise <fliprise@Fliprises-MacBook-Pro.local>	1 year ago
seamusp	16945c9922	docs: misc retrievers fixes (#9791 ) Various miscellaneous fixes to most pages in the 'Retrievers' section of the documentation: - "VectorStore" and "vectorstore" changed to "vector store" for consistency - Various spelling, grammar, and formatting improvements for readability Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Terry Tan	8bc452a466	Enhance Google search tool SerpApi response (#10157 ) Enhance SerpApi response which potential to have more relevant output. <img width="345" alt="Screenshot 2023-09-01 at 8 26 13 AM" src="https://github.com/langchain-ai/langchain/assets/10222402/80ff684d-e02e-4143-b218-5c1b102cbf75"> Query: What is the weather in Pomfret? Before: > I should look up the current weather conditions. ... Final Answer: The current weather in Pomfret is 73°F with 1% chance of precipitation and winds at 10 mph. After: > I should look up the current weather conditions. ... Final Answer: The current weather in Pomfret is 62°F, 1% precipitation, 61% humidity, and 4 mph wind. --- Query: Top team in english premier league? Before: > I need to find out which team is currently at the top of the English Premier League ... Final Answer: Liverpool FC is currently at the top of the English Premier League. After: > I need to find out which team is currently at the top of the English Premier League ... Final Answer: Man City is currently at the top of the English Premier League. --- Query: Top team in english premier league? Before: > I need to find out which team is currently at the top of the English Premier League ... Final Answer: Liverpool FC is currently at the top of the English Premier League. After: > I need to find out which team is currently at the top of the English Premier League ... Final Answer: Man City is currently at the top of the English Premier League. --- Query: Any upcoming events in Paris? Before: > I should look for events in Paris Action: Search ... Final Answer: Upcoming events in Paris this month include Whit Sunday & Whit Monday (French National Holiday), Makeup in Paris, Paris Jazz Festival, Fete de la Musique, and Salon International de la Maison de. After: > I should look for events in Paris Action: Search ... Final Answer: Upcoming events in Paris include Elektric Park 2023, The Aces, and BEING AS AN OCEAN.	1 year ago
Aashish Saini	fe0e191fb3	Made some Grammatical error fixes (#10156 ) Made some Grammatical error fixes. CC: @baskaryan, @eyurtsev, @rlancemartin. --------- Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com> Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com> Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com> Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com> Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com> Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com> Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>	1 year ago
Geonwoo Kim	e34dde3d15	docs: Fix `CustomLLM` and `Question_answering` docs (#9782 ) ### Description - Update `CustomLLM._call`: Corrected the _call method in CustomLLM to include **kwargs, ensuring consistency with parent class. - Update `Question_answering`: To fix `Page not found` error - https://python.langchain.com/docs/use_cases/code -> https://python.langchain.com/docs/use_cases/code_understanding ### Issue N/A ### Dependencies N/A ### Tag maintainer N/A ### Twitter handle N/A	1 year ago
Aashish Saini	94efede93c	Fixed Typos and grammatical issues in document files (#9789 ) Fixed typos and grammatical issues in document files. @baskaryan , @eyurtsev --------- Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com> Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com> Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com> Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com> Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com> Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com> Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>	1 year ago
Philippe PRADOS	f59e5d48ed	Google drive integration (lite) (#9999 ) My other [pull-request](https://github.com/langchain-ai/langchain/pull/5135) is too big to be acceptable. I propose another 'lite' version. I update only notebook to propose an integration with the external project [`langchain-googledrive`](https://github.com/pprados/langchain-googledrive). --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Viktor Zhemchuzhnikov	507e46844e	Extend SQLChatMessageHistory (#9849 ) ### Description There is a really nice class for saving chat messages into a database - SQLChatMessageHistory. It leverages SqlAlchemy to be compatible with any supported database (in contrast with PostgresChatMessageHistory, which is basically the same but is limited to Postgres). However, the class is not really customizable in terms of what you can store. I can imagine a lot of use cases, when one will need to save a message date, along with some additional metadata. To solve this, I propose to extract the converting logic from BaseMessage to SQLAlchemy model (and vice versa) into a separate class - message converter. So instead of rewriting the whole SQLChatMessageHistory class, a user will only need to write a custom model and a simple mapping class, and pass its instance as a parameter. I also noticed that there is no documentation on this class, so I added that too, with an example of custom message converter. ### Issue N/A ### Dependencies N/A ### Tag maintainer Not yet ### Twitter handle N/A	1 year ago
Jon Bennion	fed137a8a9	adding new chain for logical fallacy removal from model output in chain (#9887 ) Description: new chain for logical fallacy removal from model output in chain and docs Issue: n/a see above Dependencies: none Tag maintainer: @hinthornw in past from my end but not sure who that would be for maintenance of chains Twitter handle: no twitter feel free to call out my git user if shout out j-space-b Note: created documentation in docs/extras --------- Co-authored-by: Jon Bennion <jb@Jons-MacBook-Pro.local> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Lance Martin	16a27ab244	Add prompt hub for various use-cases (#9879 ) Use prompt hub in our use-case docs and guides.	1 year ago
Leonid Ganeline	a52fe9528e	docs: fixed title in `Bittensor` example (#9893 ) Fixed title in the `Bittensor` example. The old title brakes the sorted order of items in the navbar. Added some formatting.	1 year ago
seamusp	abd8681341	docs: chains & memory fixes (#9895 ) Various improvements to the Chains & Memory sections of the documentation including formatting, spelling, and grammar fixes to improve readability.	1 year ago
Josh White	bc8cceebf7	Extend DynamoDBChatMessageHistory to support composite keys (#9896 ) - Description: Adds two optional parameters to the DynamoDBChatMessageHistory class to enable users to pass in a name for their PrimaryKey, or a Key object itself to enable the use of composite keys, a common DynamoDB paradigm. [AWS DynamoDB Key docs](https://aws.amazon.com/blogs/database/choosing-the-right-dynamodb-partition-key/) - Issue: N/A - Dependencies: N/A - Twitter handle: N/A --------- Co-authored-by: Josh White <josh@ctrlstack.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Blake (Yung Cher Ho)	f4bed8a04c	Takeoff baseurl support (#10091 ) ## Description This PR introduces a minor change to the TitanTakeoff integration. Instead of specifying a port on localhost, this PR will allow users to specify a baseURL instead. This will allow users to use the integration if they have TitanTakeoff deployed externally (not on localhost). This removes the hardcoded reference to localhost "http://localhost:{port}". ### Info about Titan Takeoff 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) ### 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 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Pu Cao	05664a6f20	docs(text_splitter): update document of character splitter with tiktoken (#10001 ) The current document has not mentioned that splits larger than chunk size would happen. I update the related document and explain why it happens and how to solve it. related issue #1349 #3838 #2140	1 year ago
Leonid Ganeline	2221194450	`Yahoo Finance News` tool (#10014 ) Added: - the `Yahoo Finance News` tool - Ut-s - An example	1 year ago
Ismail Pelaseyed	5c3e9c9083	Add example of running Q&A over structured data using the `Airbyte` loaders and `pandas` (#10069 ) - Description: Added example of running Q&A over structured data using the `Airbyte` loaders and `pandas` - Dependencies: any dependencies required for this change, - Tag maintainer: @hwchase17 - Twitter handle: @pelaseyed	1 year ago
Lars von Wedel	6d82503eb1	Add parser and loader for Azure document intelligence service. (#10136 ) Hi, this PR contains loader / parser for Azure Document intelligence which is a ML-based service to ingest arbitrary PDFs / images, even if scanned. The loader generates Documents by pages of the original document. This is my first contribution to LangChain. Unfortunately I could not find the correct place for test cases. Happy to add one if you can point me to the location, but as this is a cloud-based service, a test would require network access and credentials - so might be of limited help. Dependencies: The needed dependency was already part of pyproject.toml, no change. Twitter: feel free to mention @LarsAC on the announcement	1 year ago
Harrison Chase	4abe85be57	Harrison/string inplace (#10153 ) Co-authored-by: Wrick Talukdar <wrick.talukdar@gmail.com> Co-authored-by: Anjan Biswas <anjanavb@amazon.com> Co-authored-by: Jha <nikjha@amazon.com> Co-authored-by: Lucky-Lance <77819606+Lucky-Lance@users.noreply.github.com> Co-authored-by: 陆徐东 <luxudong@MacBook-Pro.local>	1 year ago
Nino Risteski	0c0a7d19eb	Update openai_multi_functions_agent.ipynb (#10144 ) typo fix	1 year ago
Nino Risteski	f968b86652	Update apis.ipynb (#10145 ) few typo fixes	1 year ago
Guy Korland	765ef3b486	Add FalkorDB to imports (#10151 )	1 year ago
Nino Risteski	746c6ff9c3	Update index.mdx (#10142 ) fixed typos	1 year ago
Nino Risteski	fdebd3e02f	Update chat_vector_db.mdx (#10141 ) typo fix	1 year ago
Leonid Kuligin	30239b3025	added support for inference from Model Garden (#9367 ) #8850 --------- Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Leonid Ganeline	54a8df87b9	📖 docs: fixed `integration/llms` navbar (#9277 ) Fixed navbar: - renamed several files, so ToC is sorted correctly - made ToC items consistent: formatted several Titles - added several links - reformatted several docs to a consistent format - renamed several files (removed `_example` suffix) - added renamed files to the `docs/docs_skeleton/vercel.json`	1 year ago
Bagatur	b485c3048b	rm base64 images from docs (#10110 ) Causing problems indexing docs and notebook images don't render after markdown conversion anyways	1 year ago
William FH	f2fc4173c3	Update redirects meta tags (#10109 )	1 year ago
Leonid Ganeline	37e435bd00	docs: `youtube_search` tool example update (#9958 ) Added a link to source package; updated title, description.	1 year ago
Leonid Ganeline	3b8ee74e38	docs: `google-drive-tool` example fix (#10000 ) This notebook was mistakenly placed in the `toolkits` folder and appears within `Agents & Toolkits` menu. But it should be in `Tools`. Moved example into `tools/`; updated title to consistent format.	1 year ago
seamusp	afd96b2460	docs: agents & callbacks fixes (#10066 ) Various improvements to the Agents & Callbacks sections of the documentation including formatting, spelling, and grammar fixes to improve readability.	1 year ago
Benjamin Matson	58d7d86e51	feat: add bedrock chat model (#8017 ) Replace this comment with: - Description: Add Bedrock implementation of Anthropic Claude for Chat - Tag maintainer: @hwchase17, @baskaryan - Twitter handle: @bwmatson --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
KyrianC	491089754d	EdenAI LLM update. Add models name option (#8963 ) This PR follows the Eden AI (LLM + embeddings) integration. #8633 We added an optional parameter to choose different AI models for providers (like 'text-bison' for provider 'google', 'text-davinci-003' for provider 'openai', etc.). Usage: ```python llm = EdenAI( feature="text", provider="google", params={ "model": "text-bison", # new "temperature": 0.2, "max_tokens": 250, }, ) ``` You can also change the provider + model after initialization ```python llm = EdenAI( feature="text", provider="google", params={ "temperature": 0.2, "max_tokens": 250, }, ) prompt = """ hi """ llm(prompt, providers='openai', model='text-davinci-003') # change provider & model ``` The jupyter notebook as been updated with an example well. Ping: @hwchase17, @baskaryan --------- Co-authored-by: RedhaWassim <rwasssim@gmail.com> Co-authored-by: sam <melaine.samy@gmail.com>	1 year ago
Bagatur	71c418725f	index rename delete_mode -> cleanup (#10103 )	1 year ago
Bagatur	b927277809	Bagatur/eden type 2 (#10102 )	1 year ago
Bagatur	d4380339c1	eden tool nb nit (#10101 )	1 year ago
KyrianC	c7a5504789	Add EdenAI Tools (#9764 ) This PR follows the Eden AI (LLM + embeddings) integration. #8633 We added different Tools to empower agents with new capabilities : - text: explicit content detection - image: explicit content detection - image: object detection - OCR: invoice parsing - OCR: ID parsing - audio: speech to text - audio: text to speech We plan to add more in the future (like translation, language detection, + others). Usage: ```python llm=EdenAI(feature="text",provider="openai", params={"temperature" : 0.2,"max_tokens" : 250}) tools = [ EdenAiTextModerationTool(providers=["openai"],language="en"), EdenAiObjectDetectionTool(providers=["google","api4ai"]), EdenAiTextToSpeechTool(providers=["amazon"],language="en",voice="MALE"), EdenAiExplicitImageTool(providers=["amazon","google"]), EdenAiSpeechToTextTool(providers=["amazon"]), EdenAiParsingIDTool(providers=["amazon","klippa"],language="en"), EdenAiParsingInvoiceTool(providers=["amazon","google"],language="en"), ] agent_chain = initialize_agent( tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, return_intermediate_steps=True, ) result = agent_chain(""" i have this text : 'i want to slap you' first : i want to know if this text contains explicit content or not . second : if it does contain explicit content i want to know what is the explicit content in this text, third : i want to make the text into speech . if there is URL in the observations , you will always put it in the output (final answer) . """) ``` output: > Entering new AgentExecutor chain... > I need to extract the information from the ID and then convert it to text and then to speech > Action: edenai_identity_parsing > Action Input: "https://www.citizencard.com/images/citizencard-uk-id-card-2023.jpg" > Observation: last_name : > value : ANGELA > given_names : > value : GREENE > birth_place : > birth_date : > value : 2000-11-09 > issuance_date : > expire_date : > document_id : > issuing_state : > address : > age : > country : > document_type : > value : DRIVER LICENSE FRONT > gender : > image_id : > image_signature : > mrz : > nationality : > Thought: I now need to convert the information to text and then to speech > Action: edenai_text_to_speech > Action Input: "Welcome Angela Greene!" > Observation: https://d14uq1pz7dzsdq.cloudfront.net/0c494819-0bbc-4433-bfa4-6e99bd9747ea_.mp3?Expires=1693316851&Signature=YcMoVQgPuIMEOuSpFuvhkFM8JoBMSoGMcZb7MVWdqw7JEf5~67q9dEI90o5todE5mYXB5zSYoib6rGrmfBl4Rn5~yqDwZ~Tmc24K75zpQZIEyt5~ZSnHuXy4IFWGmlIVuGYVGMGKxTGNeCRNUXDhT6TXGZlr4mwa79Ei1YT7KcNyc1dsTrYB96LphnsqOERx4X9J9XriSwxn70X8oUPFfQmLcitr-syDhiwd9Wdpg6J5yHAJjf657u7Z1lFTBMoXGBuw1VYmyno-3TAiPeUcVlQXPueJ-ymZXmwaITmGOfH7HipZngZBziofRAFdhMYbIjYhegu5jS7TxHwRuox32A__&Key-Pair-Id=K1F55BTI9AHGIK > Thought: I now know the final answer > Final Answer: https://d14uq1pz7dzsdq.cloudfront.net/0c494819-0bbc-4433-bfa4-6e99bd9747ea_.mp3?Expires=1693316851&Signature=YcMoVQgPuIMEOuSpFuvhkFM8JoBMSoGMcZb7MVWdqw7JEf5~67q9dEI90o5todE5mYXB5zSYoib6rGrmfBl4Rn5~yqDwZ~Tmc24K75zpQZIEyt5~ZSnHuXy4IFWGmlIVuGYVGMGKxTGNeCRNUXDhT6TXGZlr4mwa79Ei1YT7KcNyc1dsTrYB96LphnsqOERx4X9J9XriSwxn70X8oUPFfQmLcitr-syDhiwd9Wdpg6J5y > > Finished chain. Other examples are available in the jupyter notebook. This PR is made in parallel with EdenAI LLM update #8963 I apologize for the messy PR. While working in implementing Tools we realized there was a few problems we needed to fix on LLM as well. Ping: @hwchase17, @baskaryan --------- Co-authored-by: RedhaWassim <rwasssim@gmail.com>	1 year ago
Bagatur	5f1c67b47c	Mv LCEL docs up a level (#10073 )	1 year ago
Harrison Chase	ad9e242a7a	add snippet for max concurrency (#9892 )	1 year ago
Stefano Lottini	c710c7303f	fix wrong import line in cassandra doc page for vector store (#10041 ) This fixes the exampe import line in the general "cassandra" doc page mdx file. (it was erroneously a copy of the chat message history import statement found below).	1 year ago
Jon Bennion	cc6a20d3e6	updated prompt name in documentation for sequential chain (#10048 ) Description: updated the prompt name in a sequential chain example so that it is not overwritten by the same prompt name in the next chain (this is a sequential chain example) Issue: n/a Dependencies: none Tag maintainer: not known Twitter handle: not on twitter, feel free to use my git username for anything	1 year ago
Zizhong Zhang	641b71e2cd	refactor: rename to OpaquePrompts (#10013 ) Renamed to OpaquePrompts cc @baskaryan Thanks in advance!	1 year ago
Bagatur	8d66b00c73	Data anonymizer notebook nit (#10062 )	1 year ago
Bagatur	3efab8d3df	implement vectorstores by tencent vectordb (#9989 ) Hi there！ I'm excited to open this PR to add support for using 'Tencent Cloud VectorDB' as a vector store. Tencent Cloud VectorDB is a fully-managed, self-developed, enterprise-level distributed database service designed for storing, retrieving, and analyzing multi-dimensional vector data. The database supports multiple index types and similarity calculation methods, with a single index supporting vector scales up to 1 billion and capable of handling millions of QPS with millisecond-level query latency. Tencent Cloud VectorDB not only provides external knowledge bases for large models to improve their accuracy, but also has wide applications in AI fields such as recommendation systems, NLP services, computer vision, and intelligent customer service. The PR includes: Implementation of Vectorstore. I have read your [contributing guidelines](`72b7d76d79/.github/CONTRIBUTING.md`). And I have passed the tests below make format make lint make coverage make test	1 year ago
Bagatur	b1644bc9ad	cr	1 year ago
Cameron Vetter	e37d51cab6	fix scoring profile example (#10016 ) - Description: A change in the documentation example for Azure Cognitive Vector Search with Scoring Profile so the example works as written - Issue: #10015 - Dependencies: None - Tag maintainer: @baskaryan @ruoccofabrizio - Twitter handle: @poshporcupine	1 year ago
Hyeokjun seo	e2e05ad89e	Fix Typo : `openai_api_key` -> `serpapi_api_key` (#10020 ) Fixed typo in the comments Notebook. (which says `openai_api_key` for SerpAPI)	1 year ago
Tomaz Bratanic	f2e8399cc8	Fix link in Neo4j provider page (#10023 )	1 year ago
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
Nate Nethercott	0024824a6e	docs: Fix spelling mistakes in retrievers/get_started.mdx (#9920 ) Description: Fix spelling mistakes in retrievers/get_started.mdx	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
Bagatur	ede45f535e	fix intro docs (#9950 )	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	7c7ae34eeb	updated .mdx titles and text.	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
Piyush Jain	fe1b9ee6b8	Updated notebook for comprehend moderation (#9875 ) ### Description Updated the notebook for comprehend moderation. cc @baskaryan	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
Monami Sharma	12a373810c	Fixing broken links to Moderation and Constitutional chain (#9768 ) - Description: Fixing broken links for Moderation and Constitutional chain - Issue: N/A - Twitter handle: MonamiSharma	1 year ago
nikhilkjha	d57d08fd01	Initial commit for comprehend moderator (#9665 ) This PR implements a custom chain that wraps Amazon Comprehend API calls. The custom chain is aimed to be used with LLM chains to provide moderation capability that let’s you detect and redact PII, Toxic and Intent content in the LLM prompt, or the LLM response. The implementation accepts a configuration object to control what checks will be performed on a LLM prompt and can be used in a variety of setups using the LangChain expression language to not only detect the configured info in chains, but also other constructs such as a retriever. The included sample notebook goes over the different configuration options and how to use it with other chains. ### Usage sample ```python from langchain_experimental.comprehend_moderation import BaseModerationActions, BaseModerationFilters moderation_config = { "filters":[ BaseModerationFilters.PII, BaseModerationFilters.TOXICITY, BaseModerationFilters.INTENT ], "pii":{ "action": BaseModerationActions.ALLOW, "threshold":0.5, "labels":["SSN"], "mask_character": "X" }, "toxicity":{ "action": BaseModerationActions.STOP, "threshold":0.5 }, "intent":{ "action": BaseModerationActions.STOP, "threshold":0.5 } } comp_moderation_with_config = AmazonComprehendModerationChain( moderation_config=moderation_config, #specify the configuration client=comprehend_client, #optionally pass the Boto3 Client verbose=True ) template = """Question: {question} Answer:""" prompt = PromptTemplate(template=template, input_variables=["question"]) responses = [ "Final Answer: A credit card number looks like 1289-2321-1123-2387. A fake SSN number looks like 323-22-9980. John Doe's phone number is (999)253-9876.", "Final Answer: This is a really shitty way of constructing a birdhouse. This is fucking insane to think that any birds would actually create their motherfucking nests here." ] llm = FakeListLLM(responses=responses) llm_chain = LLMChain(prompt=prompt, llm=llm) chain = ( prompt \| comp_moderation_with_config \| {llm_chain.input_keys[0]: lambda x: x['output'] } \| llm_chain \| { "input": lambda x: x['text'] } \| comp_moderation_with_config ) response = chain.invoke({"question": "A sample SSN number looks like this 123-456-7890. Can you give me some more samples?"}) print(response['output']) ``` ### Output ``` > Entering new AmazonComprehendModerationChain chain... Running AmazonComprehendModerationChain... Running pii validation... Found PII content..stopping.. The prompt contains PII entities and cannot be processed ``` --------- Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: Anjan Biswas <anjanavb@amazon.com> Co-authored-by: Jha <nikjha@amazon.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	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
Bagatur	22b6549a34	sort api classes (#9710 )	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
Leonid Ganeline	cf792891f1	📖 docs: compact api reference (#8651 ) Updated design of the "API Reference" text Here is an example of the current format: ![image](https://github.com/langchain-ai/langchain/assets/2256422/8727f2ba-1b69-497f-aa07-07f939b6da3b) It changed to `langchain.retrievers.ElasticSearchBM25Retriever` format. The same format as it is in the API Reference Toc. It also resembles code: `from langchain.retrievers import ElasticSearchBM25Retriever` (namespace THEN class_name) Current format is `ElasticSearchBM25Retriever from langchain.retrievers` (class_name THEN namespace) This change is in line with other formats and improves readability. @baskaryan	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
Aashish Saini	eb92da84a1	Fixings grammatical errors in Doc Files (#9647 ) Fixing some typos and grammatical error is doc file. @eyurtsev , @baskaryan Thanks --------- Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com> Co-authored-by: Ishita Chauhan <136303787+IshitaChauhanShortHillsAI@users.noreply.github.com>	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
Jeremy Suriel	0fa4516ce4	Fix typo (#9565 ) Corrected a minor documentation typo here: https://python.langchain.com/docs/modules/model_io/models/llms/#generate-batch-calls-richer-outputs	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
Bagatur	d09cdb4880	update data connection -> retrieval (#9561 )	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
Bagatur	4999e8af7e	pin pydantic api ref build (#9556 )	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
Harrison Chase	9930ddc555	beef up retrieval docs (#9518 )	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
呂安	ead04487fd	doc: make install from source more clearer (#9433 ) Description: if just `pip install -e .` it will not install anything, we have to find the right directory to do `pip install -e .`	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
Lance Martin	589927e9e1	Update figure in OSS model guide (#9399 )	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
AbhishekYadavShorthillsAI	90d7c55343	Fix Typo in "community.md" (#9360 ) Corrected a typographical error in the "community.md" file by removing an extra word from the sentence. @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	090411842e	Fix API reference docs (#9321 ) Do not document members nested within any private component	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
Michael Bianco	23928a3311	docs: remove multiple code blocks from comma-separated docs (#9323 )	1 year ago
Navanit Dubey	3e6cea46e2	Guide import readable json (#9291 )	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	b9ca5cc5ea	update guide import (#9279 )	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
Bagatur	a8aa1aba1c	nit (#9243 )	1 year ago
Bagatur	68d8f73698	consolidate redirects (#9242 )	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
Eugene Yurtsev	aca8cb5fba	API Reference: Do not document private modules (#9042 ) This PR prevents documentation of private modules in the API reference	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
Aashish Saini	0aabded97f	Updating interactive walkthrough link in index.md to resolve 404 error (#9063 ) Updated interactive walkthrough link in index.md to resolve 404 error. Also, expressing deep gratitude to LangChain library developers for their exceptional efforts 🥇 . --------- 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
Aayush Shah	a429145420	Minor grammatical error (#9102 ) Have corrected a grammatical error in: https://python.langchain.com/docs/modules/model_io/models/llms/ document 😄	1 year ago
Ashutosh Sanzgiri	991b448dfc	minor edits (#9093 ) Description: Minor edit to PR#845 Thanks!	1 year ago

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