langchain

Commit Graph

Author	SHA1	Message	Date
Bharat Raghunathan	c19a0b9c10	doc(prompts): Follow up on broken Prompt Sublink pages (#8530 ) - Description: Follow up of #8478 - Issue: #8477 - Dependencies: None - Tag maintainer: @baskaryan - Twitter handle: [@BharatR123](twitter.com/BharatR123) The links were still broken after #8478 and sadly the issue was not caught with either the Vercel app build and `make docs_linkcheck`	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
Bharat Raghunathan	04ebdbe98f	doc(prompts): Add redirects in Prompt subcategories pages (#8478 ) - Description: Fixes broken links in some Prompts subcategories in documentation (Example Selectors, Prompt Templates) - Issue: #8477 (Fixes #8477) - Dependencies: None - Tag maintainer: @baskaryan - Twitter handle: [@BharatR123](https://twitter.com/BharatR123)	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	490ad93b3c	fix links generation (#8471 )	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
William FH	7d79178827	Wfh/update guide imports (#8452 )	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
Bharat Raghunathan	62b8b459c6	doc(prompts): Add redirect to fix broken link on Prompts Page (#8408 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	2311d57df4	mv dropbox (#8438 )	1 year ago
Bagatur	2db2987b1b	add experimental ref (#8435 )	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
Harrison Chase	1b0bfa54cf	cr	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
William FH	41524304bf	Update local script for docs build (#8377 )	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
Rubén Barragán	ef6332ead6	Support loading files from Dropbox (#8271 ) ## Description This commit introduces the `DropboxLoader` class, a new document loader that allows loading files from Dropbox into the application. The loader relies on a Dropbox app, which requires creating an app on Dropbox, obtaining the necessary scope permissions, and generating an access token. Additionally, the dropbox Python package is required. The `DropboxLoader` class is designed to be used as a document loader for processing various file types, including text files, PDFs, and Dropbox Paper files. ## Dependencies `pip install dropbox` and `pip install unstructured` for PDF reading. ## Tag maintainer @rlancemartin, @eyurtsev (from Data Loaders). I'd appreciate some feedback here 🙏 . ## Social Networks https://github.com/rubenbarragan https://www.linkedin.com/in/rgbarragan/ https://twitter.com/RubenBarraganP --------- Co-authored-by: Ruben Barragan <rbarragan@Rubens-MacBook-Air.local>	1 year ago
Ikko Eltociear Ashimine	934ea80780	Fix typo in Etherscan.ipynb (#8340 ) specifc -> specific	1 year ago
Vadim Gubergrits	e7e5cb9d08	Tree of Thought introducing a new ToTChain. (#5167 ) # [WIP] Tree of Thought introducing a new ToTChain. This PR adds a new chain called ToTChain that implements the ["Large Language Model Guided Tree-of-Though"](https://arxiv.org/pdf/2305.08291.pdf) paper. There's a notebook example `docs/modules/chains/examples/tot.ipynb` that shows how to use it. Implements #4975 ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: - @hwchase17 - @vowelparrot --------- Co-authored-by: Vadim Gubergrits <vgubergrits@outbox.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
William FH	412e29d436	Fix notebook that 'cannot convert' via nbdoc_build (#8333 )	1 year ago
William FH	9eb7e6e27f	Delete Old Evals Examples (#8252 ) Still retain: - Comparison Examples - Data + QA walkthrough - QA (but really minimize it)	1 year ago
Fabrizio Ruocco	ddc353a768	Azure Cognitive Search: Custom index and scoring profile support (#6843 ) Description: Adding support for custom index and scoring profile support in Azure Cognitive Search @hwchase17 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Ganeline	ed24de8467	removed namespace title (#8208 ) This change compacts the left-side Navbar (ToC) of the [API Reference](https://api.python.langchain.com/en/latest/api_reference.html). Now almost each namespace item is split into two lines. For example `langchain.chat_models: Chat Models` We remove the `Chat Models` and leave one the `langchain.chat_models`. This effectively compacts the navbar and increases the main page's usability. On my screen, it reduces # of lines in Toc from 28 t to 18, which is huge. Removing the namespace "title" (like `Chat Models`) does not remove any information because the title is composed directly from the namespace. API Reference users are developers. Usability for them is very important. We see less text => we find faster.	1 year ago
Kacper Łukawski	c5988c1d4b	Implement async support for Cohere (#8237 ) This PR introduces async API support for Cohere, both LLM and embeddings. It requires updating `cohere` package to `^4`. Tagging @hwchase17, @baskaryan, @agola11 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	ceab0a7c1f	update api ref style (#8318 )	1 year ago
William FH	01a9b06400	Add api cross ref linking (#8275 ) Example of how it would show up in our python docs: ![image](https://github.com/langchain-ai/langchain/assets/13333726/0f0a88cc-ba4a-4778-bc47-118c66807f15) Examples added to the reference docs: https://api.python.langchain.com/en/wfh-api_crosslink/vectorstores/langchain.vectorstores.chroma.Chroma.html#langchain.vectorstores.chroma.Chroma ![image](https://github.com/langchain-ai/langchain/assets/13333726/dcd150de-cb56-4d42-b49a-a76a002a5a52)	1 year ago
Riche Akparuorji	f3d2fdd54c	Fix for code snippet in documentation (#8290 ) - Description: I fixed an issue in the code snippet related to the variable name and the evaluation of its length. The original code used the variable "docs," but the correct variable name is "docs_svm" after using the SVMRetriever. - maintainer: @baskaryan - Twitter handle: @iamreechi_ Co-authored-by: iamreechi <richieakparuorji>	1 year ago
Bagatur	f27176930a	fix geopandas link (#8305 )	1 year ago
Timon Palm	70604e590f	DuckDuckGoSearch News Tool (#8292 ) Description: I wanted to use the DuckDuckGoSearch tool in an agent to let him get the latest news for a topic. DuckDuckGoSearch has already an implemented function for retrieving news articles. But there wasn't a tool to use it. I simply adapted the SearchResult class with an extra argument "backend". You can set it to "news" to only get news articles. Furthermore, I added an example to the DuckDuckGo Notebook on how to further customize the results by using the DuckDuckGoSearchAPIWrapper. Dependencies: no new dependencies --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Aarav Borthakur	8ce661d5a1	Docs: Fix Rockset links (#8214 ) Fix broken Rockset links. Right now links at https://python.langchain.com/docs/integrations/providers/rockset are broken.	1 year ago
Jon Bennion	ad38eb2d50	correction to reference to code (#8301 ) - Description: fixes typo referencing code --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Naveen Tatikonda	9cbefcc56c	[ OpenSearch ] : Add AOSS Support to OpenSearch (#8256 ) ### Description This PR includes the following changes: - Adds AOSS (Amazon OpenSearch Service Serverless) support to OpenSearch. Please refer to the documentation on how to use it. - While creating an index, AOSS only supports Approximate Search with `nmslib` and `faiss` engines. During Search, only Approximate Search and Script Scoring (on doc values) are supported. - This PR also adds support to `efficient_filter` which can be used with `faiss` and `lucene` engines. - The `lucene_filter` is deprecated. Instead please use the `efficient_filter` for the lucene engine. Signed-off-by: Naveen Tatikonda <navtat@amazon.com>	1 year ago
Lance Martin	7a00f17033	Web research retriever (#8102 ) Given a user question, this will - * Use LLM to generate a set of queries. * Query for each. * The URLs from search results are stored in self.urls. * A check is performed for any new URLs that haven't been processed yet (not in self.url_database). * Only these new URLs are loaded, transformed, and added to the vectorstore. * The vectorstore is queried for relevant documents based on the questions generated by the LLM. * Only unique documents are returned as the final result. This code will avoid reprocessing of URLs across multiple runs of similar queries, which should improve the performance of the retriever. It also keeps track of all URLs that have been processed, which could be useful for debugging or understanding the retriever's behavior. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Byron Saltysiak	68a906bb31	added lxml to the pip install example since it is required (#8260 ) - Description: The trello dataloader example didn't work without an additional dependency installed - lxml - Issue: na	1 year ago
Emory Petermann	7734a2b5ab	update golden-query notebook and fix typo in golden docs (#8253 ) updating the documentation to be consistent for Golden query tool and have a better introduction to the tool	1 year ago
William FH	dd87275dde	Add LLMChain example of memory with chat models (#8250 )	1 year ago
William FH	1f40d3e094	Update Broken Links (#8247 )	1 year ago
William FH	30c2d3cd06	Update references (#8243 )	1 year ago
William FH	0a16b3d84b	Update Integrations links (#8206 )	1 year ago
Dayuan Jiang	125ae6d9de	add Hybrid retriever that not require any external service (#8108 ) - Until now, hybrid search was limited to modules requiring external services, such as Weaviate/Pinecone Hybrid Search. However, I have developed a hybrid retriever that can merge a list of retrievers using the [Reciprocal Rank Fusion](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) algorithm. This new approach, similar to Weaviate hybrid search, does not require the initialization of any external service. - Dependencies: No - Twitter handle: dayuanjian21687 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Dario Ruben	04e45f9cde	Fixed grammar in LLM models documentation (#8210 ) Description: I fixed a typo in the documentation related to LLMs (https://python.langchain.com/docs/modules/model_io/models/llms/)	1 year ago
Taqi Jaffri	8f158b72fc	Added stop sequence support to replicate (#8107 ) Stop sequences are useful if you are doing long-running completions and need to early-out rather than running for the full max_length... not only does this save inference cost on Replicate, it is also much faster if you are going to truncate the output later anyway. Other LLMs support stop sequences natively (e.g. OpenAI) but I didn't see this for Replicate so adding this via their prediction cancel method. Housekeeping: I ran `make format` and `make lint`, no issues reported in the files I touched. I did update the replicate integration test and ran `poetry run pytest tests/integration_tests/llms/test_replicate.py` successfully. Finally, I am @tjaffri https://twitter.com/tjaffri for feature announcement tweets... or if you could please tag @docugami https://twitter.com/docugami we would really appreciate that :-) Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	1 year ago
glaze	f7ad14acfa	Add etherscan document loader (#7943 ) @rlancemartin The modification includes: * etherscanLoader * test_etherscan * document ipynb I have run the test, lint, format, and spell check. I do encounter a linting error on ipynb, I am not sure how to address that. ``` docs/extras/modules/data_connection/document_loaders/integrations/Etherscan.ipynb:55: error: Name "null" is not defined [name-defined] docs/extras/modules/data_connection/document_loaders/integrations/Etherscan.ipynb:76: error: Name "null" is not defined [name-defined] Found 2 errors in 1 file (checked 1 source file) ``` - Description: The Etherscan loader uses etherscan api to load transaction histories under specific accounts on Ethereum Mainnet. - No dependency is introduced by this PR. - Twitter handle: glazecl --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	483f6c2fe3	mv eval docs (#8209 )	1 year ago
Liu Ming	24f889f2bc	Change with_history option to False for ChatGLM by default (#8076 ) ChatGLM LLM integration will by default accumulate conversation history(with_history=True) to ChatGLM backend api, which is not expected in most cases. This PR set with_history=False by default, user should explicitly set llm.with_history=True to turn this feature on. Related PR: #8048 #7774 --------- Co-authored-by: mlot <limpo2000@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Anthony Mahanna	76102971c0	ArangoDB/AQL support for Graph QA Chain (#7880 ) Description: Serves as an introduction to LangChain's support for [ArangoDB](https://github.com/arangodb/arangodb), similar to https://github.com/hwchase17/langchain/pull/7165 and https://github.com/hwchase17/langchain/pull/4881 Issue: No issue has been created for this feature Dependencies: `python-arango` has been added as an optional dependency via the `CONTRIBUTING.md` guidelines Twitter handle: [at]arangodb - Integration test has been added - Notebook has been added: [graph_arangodb_qa.ipynb](https://github.com/amahanna/langchain/blob/master/docs/extras/modules/chains/additional/graph_arangodb_qa.ipynb) [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/amahanna/langchain/blob/master/docs/extras/modules/chains/additional/graph_arangodb_qa.ipynb) ``` docker run -p 8529:8529 -e ARANGO_ROOT_PASSWORD= arangodb/arangodb ``` ``` pip install git+https://github.com/amahanna/langchain.git ``` ```python from arango import ArangoClient from langchain.chat_models import ChatOpenAI from langchain.graphs import ArangoGraph from langchain.chains import ArangoGraphQAChain db = ArangoClient(hosts="localhost:8529").db(name="_system", username="root", password="", verify=True) graph = ArangoGraph(db) chain = ArangoGraphQAChain.from_llm(ChatOpenAI(temperature=0), graph=graph) chain.run("Is Ned Stark alive?") ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Adilkhan Sarsen	3e7d2a1b64	SelfQuery support for deeplake (#7888 ) Added support SelfQuery for Deeplake	1 year ago
Juan José Torres	1cc7d4c9eb	Update SageMaker Endpoint Embeddings docs to be up to date with current requirements (#8103 ) - Description: Simple change of the Class that ContentHandler inherits from. To create an object of type SagemakerEndpointEmbeddings, the property content_handler must be of type EmbeddingsContentHandler not ContentHandlerBase anymore, - Twitter handle: @Juanjo_Torres11 Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	1a7d8667c8	Bagatur/gateway chat (#8198 ) Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com>	1 year ago
Ettore Di Giacinto	ae28568e2a	Add embeddings for LocalAI (#8134 ) Description: This PR adds embeddings for LocalAI ( https://github.com/go-skynet/LocalAI ), a self-hosted OpenAI drop-in replacement. As LocalAI can re-use OpenAI clients it is mostly following the lines of the OpenAI embeddings, however when embedding documents, it just uses string instead of sending tokens as sending tokens is best-effort depending on the model being used in LocalAI. Sending tokens is also tricky as token id's can mismatch with the model - so it's safer to just send strings in this case. Partly related to: https://github.com/hwchase17/langchain/issues/5256 Dependencies: No new dependencies Twitter: @mudler_it --------- Signed-off-by: mudler <mudler@localai.io> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Mike Nitsenko	d983046f90	Extend Cube Semantic Loader functionality (#8186 ) PR Description: This pull request introduces several enhancements and new features to the `CubeSemanticLoader`. The changes include the following: 1. Added imports for the `json` and `time` modules. 2. Added new constructor parameters: `load_dimension_values`, `dimension_values_limit`, `dimension_values_max_retries`, and `dimension_values_retry_delay`. 3. Updated the class documentation with descriptions for the new constructor parameters. 4. Added a new private method `_get_dimension_values()` to retrieve dimension values from Cube's REST API. 5. Modified the `load()` method to load dimension values for string dimensions if `load_dimension_values` is set to `True`. 6. Updated the API endpoint in the `load()` method from the base URL to the metadata endpoint. 7. Refactored the code to retrieve metadata from the response JSON. 8. Added the `column_member_type` field to the metadata dictionary to indicate if a column is a measure or a dimension. 9. Added the `column_values` field to the metadata dictionary to store the dimension values retrieved from Cube's API. 10. Modified the `page_content` construction to include the column title and description instead of the table name, column name, data type, title, and description. These changes improve the functionality and flexibility of the `CubeSemanticLoader` class by allowing the loading of dimension values and providing more detailed metadata for each document. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	4928f7a9f5	undo bump (#8192 )	1 year ago
Bagatur	14aa27b5f4	redirect (#8189 )	1 year ago
Bagatur	e7d64f8b15	Bagatur/vercel test 3 (#8188 )	1 year ago
Bagatur	026269bfa9	redirects (#8183 )	1 year ago
Harrison Chase	3caccf304c	Harrison/hugginggpt (#8162 ) Co-authored-by: Yongliang Shen <withsyl@163.com>	1 year ago
Bagatur	c8c8635dc9	mv module integrations docs (#8101 )	1 year ago
Adarsh Shirawalmath	8ea840432f	Generalize Comment on Streaming Support for LLM Implementations and add examples (#8115 ) The example provided demonstrates the usage of the HuggingFaceTextGenInference implementation with streaming enabled.	1 year ago
Harrison Chase	33fd6184ba	beef up getting started (#8139 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lawrence Lim	fa8906a9b7	fix typo: Entity Summary Memory documentation (#8145 ) Fixed a small typo I came across in the Memory documentation.	1 year ago
Fielding Johnston	fb62f2be70	nit: small typo in evaluation module docs (#8155 ) Hopefully, this doesn't come across as nitpicky! That isn't the intention. I only noticed it, because I enjoy reading the documentation and when I hit a mental road bump it is usually due to a missing word or something =) @baskaryan	1 year ago
SlapDrone	961a0e200f	Implement AgentExecutorIterator (#6929 ) - Description: Implements a `.iter()` method for the `AgentExecutor` class. This allows hooking into and intercepting intermediate agent steps. - Issue: #6925 - Dependencies: None - Tag maintainer: @vowelparrot @agola11 - Twitter handle: @SlapDron3 @lacicocodes --------- Co-authored-by: Lacico <Lacicocodes@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	e46126eac6	add llamaapi (#8140 )	1 year ago
Harrison Chase	f0eb5db670	Harrison/agent intro (#8138 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	cbf2fc8af8	prompt ergonomics (#7799 )	1 year ago
Samuel Berthe	d81d6e874f	doc(sqldatabasechain): use views when jsonb column description is not available (#8133 ) I think the PR diff is self explaining ;) @baskaryan	1 year ago
Karthik Raja A	8b08687fc4	MultiOn client toolkit (#8110 ) Addition of MultiOn Client Agent Toolkit Dependencies: multion pip package This PR consists of the following: - MultiOn utility,tools and integration with agent - sample jupyter notebook. Request @hwchase17 , @hinthornw --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	aa0e69bc98	Harrison/official pre release (#8106 )	1 year ago
Bagatur	58f65fcf12	use top nav docs (#8090 )	1 year ago
Bagatur	08c658d3f8	fix api ref (#8083 )	1 year ago
Harrison Chase	f35db9f43e	(WIP) set up experimental (#7959 )	1 year ago
Lance Martin	5a084e1b20	Async HTML loader and HTML2Text transformer (#8036 ) New HTML loader that asynchronously loader a list of urls. New transformer using [HTML2Text](https://github.com/Alir3z4/html2text/) for HTML to clean, easy-to-read plain ASCII text (valid Markdown).	1 year ago
Wey Gu	cf60cff1ef	feat: Add with_history option for chatglm (#8048 ) In certain 0-shot scenarios, the existing stateful language model can unintentionally send/accumulate the .history. This commit adds the "with_history" option to chatglm, allowing users to control the behavior of .history and prevent unintended accumulation. Possible reviewers @hwchase17 @baskaryan @mlot Refer to discussion over this thread: https://twitter.com/wey_gu/status/1681996149543276545?s=20	1 year ago
Harrison Chase	1f3b987860	Harrison/GitHub toolkit (#8047 ) Co-authored-by: Trevor Dobbertin <trevordobbertin@gmail.com>	1 year ago

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