langchain

Commit Graph

Author	SHA1	Message	Date
Harrison Chase	6556a8fcfd	add initial anthropic agent (#8468 ) Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
os1ma	a795c3d860	Fix GitLoader to handle repeated load calls (#8412 ) Description: a description of the change In this pull request, GitLoader has been updated to handle multiple load calls, provided the same repository is being cloned. Previously, calling `load` multiple times would raise an error if a clone URL was provided. Additionally, a check has been added to raise a ValueError when attempting to clone a different repository into an existing path. New tests have also been introduced to verify the correct behavior of the GitLoader class when `load` is called multiple times. Lastly, the GitPython package, a dependency for the GitLoader class, has been added to the project dependencies (pyproject.toml and poetry.lock). Issue: the issue # it fixes (if applicable) None Dependencies: any dependencies required for this change GitPython Tag maintainer: for a quicker response, tag the relevant maintainer (see below) - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev	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
Eugene Yurtsev	e98e2b2b81	ChatPromptTemplate: clean up doc-string (#8473 ) Minor doc-string clean up --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Eugene Yurtsev	529cb2e30c	Update doc-string in few shot template (#8474 ) Partial update of doc-string, need to update other instances in documentation	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
shibuiwilliam	549720ae51	add test to ensure values in time weighted retriever are updated (#8479 ) # What - add test to ensure values in time weighted retriever are updated <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: add test to ensure values in time weighted retriever are updated - Issue: None - Dependencies: None - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @MlopsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Harrison Chase	18a2452121	prompt cleanup (#8470 )	1 year ago
Harrison Chase	4d526c49ed	bump experimental to 008 (#8490 )	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
Nuno Campos	b65a9414bb	runnable.bind().bind() should combine kwargs, instead of nesting wrappers (#8467 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	ae4638aa35	improve notebooks (#8461 )	1 year ago
Nuno Campos	872abb4198	Implement Runnable for Tools (#8460 ) - Make _arun optional - Pass run_manager to inner chains in tools that have them <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Harrison Chase	412fa4e1db	add guide notebook (#8258 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
William FH	b7c0eb9ecb	Wfh/ref links (#8454 )	1 year ago
Harrison Chase	13b4f465e2	log output parser (#8446 )	1 year ago
William FH	7d79178827	Wfh/update guide imports (#8452 )	1 year ago
William FH	d935573362	Partial formatting for chat messages (#8450 )	1 year ago
William FH	3314f54383	Update supabase docstrings (#8443 )	1 year ago
Harrison Chase	f63240649c	cr	1 year ago
Harrison Chase	17953ab61f	add notebook for sql query (#8442 )	1 year ago
Harrison Chase	2448043b84	bump and fix (#8441 )	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
Bearnardd	b7d6e1909c	fix empty ids when metadatas is provided (#8127 ) Fixes https://github.com/hwchase17/langchain/issues/7865 and https://github.com/hwchase17/langchain/issues/8061 - [x] fixes returning empty ids when metadatas argument is provided @baskaryan --------- 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
Luis Valencia	7124377524	Devcontainer README -> Clarification. (#8414 ) - Description: The contribution guidlelines using devcontainer refer to the main repo and not the forked repo. We should create our changes in our own forked repo, not on langchain/main - Issue: Just documentation - Dependencies: N/A, - Tag maintainer: @baskaryan - Twitter handle: @levalencia	1 year ago
lvisdd	abe4c361f9	update get_num_tokens_from_messages model (#8431 ) (#8430) Co-authored-by: Kano Kunihiko <kkano@heroz.co.jp>	1 year ago
Jeffrey Wang	e0de62f6da	Add RoPE Scaling params from llamacpp (#8422 ) Description: Just adding parameters from `llama-python-cpp` that support RoPE scaling. @hwchase17, @baskaryan sources: papers and explanation: https://kaiokendev.github.io/context llamacpp conversation: https://github.com/ggerganov/llama.cpp/discussions/1965 Supports models like: https://huggingface.co/conceptofmind/LLongMA-2-13b	1 year ago
Bagatur	2db2987b1b	add experimental ref (#8435 )	1 year ago
Harrison Chase	fab24457bc	remove code (#8425 )	1 year ago
Harrison Chase	3a78450883	update experimental (#8402 ) some changes were made to experimental, porting them over	1 year ago
Harrison Chase	af7e70d4af	expose function for converting messages to messages (#8426 )	1 year ago
Eugene Yurtsev	06bdbe06fe	PromptTemplate update documentation and expand kwarg (#8423 ) # PromptTemplate * Update documentation to highlight the classmethod for instantiating a prompt template. * Expand kwargs in the classmethod to make parameters easier to discover This PR got reverted here: https://github.com/langchain-ai/langchain/pull/8395/files	1 year ago
Eugene Yurtsev	e62a1686e2	ChatPromptTemplate: minor fix in doc string (#8424 ) Minor fix in doc-string to use `ai` rather than `assistant`	1 year ago
Eugene Yurtsev	760c278fe0	ChatPromptTemplate: Expand support for message formats and documentation (#8244 ) * Expands support for a variety of message formats in the `from_messages` classmethod. Ideally, we could deprecate the other on-ramps to reduce the amount of classmethods users need to know about. * Expand documentation with code examples.	1 year ago
Bagatur	61dd92f821	bump 246 (#8410 )	1 year ago
Harrison Chase	394b67ab92	add kwargs to llm runnables (#8388 )	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
James Campbell	0ad2d5f27a	[nit] Add default value for ChatOpenAI client (#7939 ) Micro convenience PR to avoid warning regarding missing `client` parameter. It is always set during initialization. @baskaryan Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	82df923f37	Merge branch 'master' of github.com:hwchase17/langchain	1 year ago
Harrison Chase	1b0bfa54cf	cr	1 year ago
Jeff Vestal	c7ff5f19a8	ElasticKnnSearch rewrite - bug fix - return Document (#8180 ) Fixes: https://github.com/hwchase17/langchain/issues/7117 https://github.com/hwchase17/langchain/issues/5760 Adding back `create_index` , `add_texts`, `from_texts` to ElasticKnnSearch `from_texts` matches standard `from_texts` methods as quick start up method `knn_search` and `hybrid_result` return a list of [`Document()`, `score`,] # Test `from_texts` for quick start ``` # create new index using from_text from langchain.vectorstores.elastic_vector_search import ElasticKnnSearch from langchain.embeddings import ElasticsearchEmbeddings model_id = "sentence-transformers__all-distilroberta-v1" dims = 768 es_cloud_id = "" es_user = "" es_password = "" test_index = "knn_test_index_305" embeddings = ElasticsearchEmbeddings.from_credentials( model_id, #input_field=input_field, es_cloud_id=es_cloud_id, es_user=es_user, es_password=es_password, ) # add texts and create class instance texts = ["This is a test document", "This is another test document"] knnvectorsearch = ElasticKnnSearch.from_texts( texts=texts, embedding=embeddings, index_name= test_index, vector_query_field='vector', query_field='text', model_id=model_id, dims=dims, es_cloud_id=es_cloud_id, es_user=es_user, es_password=es_password ) # Test `add_texts` method texts2 = ["Hello, world!", "Machine learning is fun.", "I love Python."] knnvectorsearch.add_texts(texts2) query = "Hello" knn_result = knnvectorsearch.knn_search(query = query, model_id= model_id, k=2) hybrid_result = knnvectorsearch.knn_hybrid_search(query = query, model_id= model_id, k=2) ``` The mapping is as follows: ``` { "knn_test_index_012": { "mappings": { "properties": { "text": { "type": "text" }, "vector": { "type": "dense_vector", "dims": 768, "index": true, "similarity": "dot_product" } } } } } ``` # Check response type ``` >>> hybrid_result [(Document(page_content='Hello, world!', metadata={}), 0.94232327), (Document(page_content='I love Python.', metadata={}), 0.5321523)] >>> hybrid_result[0] (Document(page_content='Hello, world!', metadata={}), 0.94232327) >>> hybrid_result[0][0] Document(page_content='Hello, world!', metadata={}) >>> type(hybrid_result[0][0]) <class 'langchain.schema.document.Document'> ``` # Test with existing Index ``` from langchain.vectorstores.elastic_vector_search import ElasticKnnSearch from langchain.embeddings import ElasticsearchEmbeddings ## Initialize ElasticsearchEmbeddings model_id = "sentence-transformers__all-distilroberta-v1" dims = 768 es_cloud_id = es_user = "" es_password = "" test_index = "knn_test_index_012" embeddings = ElasticsearchEmbeddings.from_credentials( model_id, es_cloud_id=es_cloud_id, es_user=es_user, es_password=es_password, ) ## Initialize ElasticKnnSearch knn_search = ElasticKnnSearch( es_cloud_id=es_cloud_id, es_user=es_user, es_password=es_password, index_name= test_index, embedding= embeddings ) ## Test adding vectors ### Test `add_texts` method when index created texts = ["Hello, world!", "Machine learning is fun.", "I love Python."] knn_search.add_texts(texts) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	a221a9ced0	Harrison/sql query (#8370 ) Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago

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