langchain

Commit Graph

Author	SHA1	Message	Date
Erick Friis	50cb0a03bc	docs: advanced feature note (#24456 ) fixes #24430	2 months ago
Bagatur	f101c759ed	docs: how to pass runtime secrets (#24450 )	2 months ago
keval dekivadiya	06f47678ae	community[minor]: Add TextEmbed Embedding Integration (#22946 ) Description: TextEmbed is a high-performance embedding inference server designed to provide a high-throughput, low-latency solution for serving embeddings. It supports various sentence-transformer models and includes the ability to deploy image and text embedding models. TextEmbed offers flexibility and scalability for diverse applications. - PyPI Package: [TextEmbed on PyPI](https://pypi.org/project/textembed/) - Docker Image: [TextEmbed on Docker Hub](https://hub.docker.com/r/kevaldekivadiya/textembed) - GitHub Repository: [TextEmbed on GitHub](https://github.com/kevaldekivadiya2415/textembed) PR Description This PR adds functionality for embedding documents and queries using the `TextEmbedEmbeddings` class. The implementation allows for both synchronous and asynchronous embedding requests to a TextEmbed API endpoint. The class handles batching and permuting of input texts to optimize the embedding process. Example Usage: ```python from langchain_community.embeddings import TextEmbedEmbeddings # Initialise the embeddings class embeddings = TextEmbedEmbeddings(model="your-model-id", api_key="your-api-key", api_url="your_api_url") # Define a list of documents documents = [ "Data science involves extracting insights from data.", "Artificial intelligence is transforming various industries.", "Cloud computing provides scalable computing resources over the internet.", "Big data analytics helps in understanding large datasets.", "India has a diverse cultural heritage." ] # Define a query query = "What is the cultural heritage of India?" # Embed all documents document_embeddings = embeddings.embed_documents(documents) # Embed the query query_embedding = embeddings.embed_query(query) # Print embeddings for each document for i, embedding in enumerate(document_embeddings): print(f"Document {i+1} Embedding:", embedding) # Print the query embedding print("Query Embedding:", query_embedding) --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	2 months ago
Shikanime Deva	9c3da11910	Fix MultiQueryRetriever breaking Embeddings with empty lines (#21093 ) Fix MultiQueryRetriever breaking Embeddings with empty lines ``` [chain/end] [1:chain:ConversationalRetrievalChain > 2:retriever:Retriever > 3:retriever:Retriever > 4:chain:LLMChain] [2.03s] Exiting Chain run with output: [outputs] > /workspaces/Sfeir/sncf/metabot-backend/.venv/lib/python3.11/site-packages/langchain/retrievers/multi_query.py(116)_aget_relevant_documents() -> if self.include_original: (Pdb) queries ['## Alternative questions for "Hello, tell me about phones?":', '', '1. What are the latest trends in smartphone technology? (Focuses on recent advancements)', '2. How has the mobile phone industry evolved over the years? (Historical perspective)', '3. What are the different types of phones available in the market, and which one is best for me? (Categorization and recommendation)'] ``` Example of failure on VertexAIEmbeddings ``` grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with: status = StatusCode.INVALID_ARGUMENT details = "The text content is empty." debug_error_string = "UNKNOWN:Error received from peer ipv4:142.250.184.234:443 {created_time:"2024-04-30T09:57:45.625698408+00:00", grpc_status:3, grpc_message:"The text content is empty."}" ``` Fixes: #15959 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Andrew Benton	f9d64d22e5	community[minor]: Add Riza Python/JS code execution tool (#23995 ) - Description: Add Riza Python/JS code execution tool - Issue: N/A - Dependencies: an optional dependency on the `rizaio` pypi package - Twitter handle: [@rizaio](https://x.com/rizaio) [Riza](https://riza.io) is a safe code execution environment for agent-generated Python and JavaScript that's easy to integrate into langchain apps. This PR adds two new tool classes to the community package.	2 months ago
Piotr Romanowski	c50dd79512	docs: Update langchain-openai package version in chat_token_usage_tracking (#24436 ) This PR updates docs to mention correct version of the `langchain-openai` package required to use the `stream_usage` parameter. As it can be noticed in the details of this [merge commit](`722c8f50ea`), that functionality is available only in `langchain-openai >= 0.1.9` while docs state it's available in `langchain-openai >= 0.1.8`.	2 months ago
Evan Harris	61ea7bf60b	Add a `ListRerank` document compressor (#13311 ) - Description: This PR adds a new document compressor called `ListRerank`. It's derived from `BaseDocumentCompressor`. It's a near exact implementation of introduced by this paper: [Zero-Shot Listwise Document Reranking with a Large Language Model](https://arxiv.org/pdf/2305.02156.pdf) which it finds to outperform pointwise reranking, which is somewhat implemented in LangChain as [LLMChainFilter](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/retrievers/document_compressors/chain_filter.py). - Issue: None - Dependencies: None - Tag maintainer: @hwchase17 @izzymsft - Twitter handle: @HarrisEMitchell Notes: 1. I didn't add anything to `docs`. I wasn't exactly sure which patterns to follow as [cohere reranker is under Retrievers](https://python.langchain.com/docs/integrations/retrievers/cohere-reranker) with other external document retrieval integrations, but other contextual compression is [here](https://python.langchain.com/docs/modules/data_connection/retrievers/contextual_compression/). Happy to contribute to either with some direction. 2. I followed syntax, docstrings, implementation patterns, etc. as well as I could looking at nearby modules. One thing I didn't do was put the default prompt in a separate `.py` file like [Chain Filter](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/retrievers/document_compressors/chain_filter_prompt.py) and [Chain Extract](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/retrievers/document_compressors/chain_extract_prompt.py). Happy to follow that pattern if it would be preferred. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Srijan Dubey	4c651ba13a	Adding LangChain v0.2 support for nvidia ai endpoint, langchain-nvidia-ai-endpoints. Removed deprecated classes from nvidia_ai_endpoints.ipynb (#24411 ) Description: added support for LangChain v0.2 for nvidia ai endpoint. Implremented inMemory storage for chains using RunnableWithMessageHistory which is analogous to using `ConversationChain` which was used in v0.1 with the default `ConversationBufferMemory`. This class is deprecated in favor of `RunnableWithMessageHistory` in LangChain v0.2 Issue: None Dependencies: None. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
ccurme	ba74341eee	docs: update tool calling how-to to pass functions to bind_tools (#24402 )	2 months ago
Harrison Chase	3adf710f1d	docs: improve docs on tools (#24404 ) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Casey Clements	aade1550c6	docs: Adds MongoDBAtlasVectorSearch to VectorStore list compatible with Indexing API (#24374 ) Adds MongoDBAtlasVectorSearch to list of VectorStores compatible with the Indexing API. (One line change.) As of `langchain-mongodb = "0.1.7"`, the requirements that the VectorStore have both add_documents and delete methods with an ids kwarg is satisfied. #23535 contains the implementation of that, and has been merged.	2 months ago
João Dinis Ferreira	242de9aa5e	docs: remove redundant `--quiet` option in `pip install` command (#24397 ) - Description: Removes a redundant option in a `pip install` command in the documentation. - Issue: N/A - Dependencies: N/A	2 months ago
Bagatur	f9baaae3ec	docs: clean up tool how to titles (#24373 )	2 months ago
Bagatur	4da1df568a	docs: tools concepts (#24368 )	2 months ago
William FH	c5a07e2dd8	core[patch]: add InjectedToolArg annotation (#24279 ) ```python from typing_extensions import Annotated from langchain_core.tools import tool, InjectedToolArg from langchain_anthropic import ChatAnthropic @tool def multiply(x: int, y: int, not_for_model: Annotated[dict, InjectedToolArg]) -> str: """multiply.""" return x * y ChatAnthropic(model='claude-3-sonnet-20240229',).bind_tools([multiply]).invoke('5 times 3').tool_calls ''' -> [{'name': 'multiply', 'args': {'x': 5, 'y': 3}, 'id': 'toolu_01Y1QazYWhu4R8vF4hF4z9no', 'type': 'tool_call'}] ''' ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Nithish Raghunandanan	eb26b5535a	couchbase: Add chat message history (#24356 ) Description: : Add support for chat message history using Couchbase - [x] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com>	2 months ago
Srijan Dubey	1792684e8f	removed deprecated classes from pipelineai.ipynb, added support for LangChain v0.2 for PipelineAI integration (#24333 ) Description: added support for LangChain v0.2 for PipelineAI integration. Removed deprecated classes and incorporated support for LangChain v0.2 to integrate with PipelineAI. Removed LLMChain and replaced it with Runnable interface. Also added StrOutputParser, that parses LLMResult into the top likely string. Issue: None Dependencies: None. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Tobias Sette	e60ad12521	docs(infobip.ipynb): fix typo (#24328 )	2 months ago
Eugene Yurtsev	616196c620	Docs: Add how to dispatch custom callback events (#24278 ) * Add how-to guide for dispatching custom callback events. * Add links from index to the how to guide * Add link from streaming from within a tool * Update versionadded to correct release https://github.com/langchain-ai/langchain/releases/tag/langchain-core%3D%3D0.2.15	2 months ago
Erick Friis	dd7938ace8	docs: readthedocs deprecation fix (#24321 ) https://about.readthedocs.com/blog/2024/07/addons-by-default/#how-does-it-affect-my-projects we use build.command so we're already using addons, so I think this is it	2 months ago
Srijan Dubey	ef07308c30	Upgraded shaleprotocol to use langchain v0.2 removed deprecated classes (#24320 ) Description: Added support for langchain v0.2 for shale protocol. Replaced LLMChain with Runnable interface which allows any two Runnables to be 'chained' together into sequences. Also added StreamingStdOutCallbackHandler. Callback handler for streaming. Issue: None Dependencies: None.	2 months ago
Anush	e38bf08139	qdrant: Fixed typos in Qdrant vectorstore docs (#24312 ) ## Description As that title goes.	2 months ago
bovlb	5caa381177	community[minor]: Add ApertureDB as a vectorstore (#24088 ) Thank you for contributing to LangChain! - [X] ApertureDB as vectorstore: "community: Add ApertureDB as a vectorestore" - Description:* this change provides a new community integration that uses ApertureData's ApertureDB as a vector store. - Issue: none - Dependencies: depends on ApertureDB Python SDK - Twitter handle: ApertureData - [X] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. Integration tests rely on a local run of a public docker image. Example notebook additionally relies on a local Ollama server. - [X] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ All lint tests pass. Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Gautam <gautam@aperturedata.io>	2 months ago
Mazen Ramadan	0c1889c713	docs: fix parameter typo in scrapfly loader docs (#24307 ) Fixed wrong parameter typo in [ScrapflyLoader](https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/document_loaders/scrapfly.py) docs, where `ignore_scrape_failures` is used instead of `continue_on_failure`. - Description: Fix wrong param typo in ScrapflyLoader docs.	2 months ago
Rafael Pereira	77dd327282	Docs: Fix Concepts Integration Tools Link (#24301 ) - Description: This PR fix concepts integrations tools link. - Issue: Fixes issue #24112 --------- Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
amcastror	d83164f837	Update retrievers.ipynb (#24289 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
Jacob Lee	6716379f0c	docs[patch]: Fix rendering issue in code splitter page (#24291 )	2 months ago
Jacob Lee	58fdb070fa	docs[patch]: Update intro diagram (#24290 ) CC @agola11	2 months ago
Lage Ragnarsson	a3c10fc6ce	community: Add support for specifying hybrid search for Databricks vector search (#23528 ) Description: Databricks Vector Search recently added support for hybrid keyword-similarity search. See [usage examples](https://docs.databricks.com/en/generative-ai/create-query-vector-search.html#query-a-vector-search-endpoint) from their documentation. This PR updates the Langchain vectorstore interface for Databricks to enable the user to pass the query_type parameter to similarity_search to make use of this functionality. By default, there will not be any changes for existing users of this interface. To use the new hybrid search feature, it is now possible to do ```python # ... dvs = DatabricksVectorSearch(index) dvs.similarity_search("my search query", query_type="HYBRID") ``` Or using the retriever: ```python retriever = dvs.as_retriever( search_kwargs={ "query_type": "HYBRID", } ) retriever.invoke("my search query") ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Anush	d93ae756e6	qdrant: Documentation for the new QdrantVectorStore class (#24166 ) ## Description Follow up on #24165. Adds a page to document the latest usage of the new `QdrantVectorStore` class.	2 months ago
Erick Friis	1244e66bd4	docs: remove couchbase from docs linking (#24277 ) `pip install couchbase` adds 12 minutes to the docs build...	2 months ago
Bagatur	9d0c1d2dc9	docs: specify init_chat_model version (#24274 )	2 months ago
MoraxMa	a7296bddc2	docs: updated Tongyi package (#24259 ) * updated pip install package	2 months ago
JP-Ellis	f77659463a	core[patch]: allow message utils to work with lcel (#23743 ) The functions `convert_to_messages` has had an expansion of the arguments it can take: 1. Previously, it only could take a `Sequence` in order to iterate over it. This has been broadened slightly to an `Iterable` (which should have no other impact). 2. Support for `PromptValue` and `BaseChatPromptTemplate` has been added. These are generated when combining messages using the overloaded `+` operator. Functions which rely on `convert_to_messages` (namely `filter_messages`, `merge_message_runs` and `trim_messages`) have had the type of their arguments similarly expanded. Resolves #23706. <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --> --------- Signed-off-by: JP-Ellis <josh@jpellis.me> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Harold Martin	ccdaf14eff	docs: Spell check fixes (#24217 ) Description: Spell check fixes for docs, comments, and a couple of strings. No code change e.g. variable names. Issue: none Dependencies: none Twitter handle: hmartin	2 months ago
Bagatur	a0958c0607	docs: more tool call -> tool message docs (#24271 )	2 months ago
ccurme	888fbc07b5	core[patch]: support passing `args_schema` through `as_tool` (#24269 ) Note: this allows the schema to be passed in positionally. ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.runnables import RunnableLambda class Add(BaseModel): """Add two integers together.""" a: int = Field(..., description="First integer") b: int = Field(..., description="Second integer") def add(input: dict) -> int: return input["a"] + input["b"] runnable = RunnableLambda(add) as_tool = runnable.as_tool(Add) as_tool.args_schema.schema() ``` ``` {'title': 'Add', 'description': 'Add two integers together.', 'type': 'object', 'properties': {'a': {'title': 'A', 'description': 'First integer', 'type': 'integer'}, 'b': {'title': 'B', 'description': 'Second integer', 'type': 'integer'}}, 'required': ['a', 'b']} ```	2 months ago
Bagatur	0da5078cad	langchain[minor]: Generic configurable model (#23419 ) alternative to [23244](https://github.com/langchain-ai/langchain/pull/23244). allows you to use chat model declarative methods ![Screenshot 2024-06-25 at 1 07 10 PM](https://github.com/langchain-ai/langchain/assets/22008038/910d1694-9b7b-46bc-bc2e-3792df9321d6)	2 months ago
Bagatur	9224027e45	docs: tool artifacts how to (#24198 )	2 months ago
Jacob Lee	2b7d1cdd2f	docs[patch]: Update tool child run docs (#24160 ) Documents #24143	2 months ago
Anirudh31415926535	7677ceea60	docs: model parameter mandatory for cohere embedding and rerank (#23349 ) Latest langchain-cohere sdk mandates passing in the model parameter into the Embeddings and Reranker inits. This PR is to update the docs to reflect these changes.	2 months ago
Nithish Raghunandanan	f1618ec540	couchbase: Add standard and semantic caches (#23607 ) Thank you for contributing to LangChain! Description: Add support for caching (standard + semantic) LLM responses using Couchbase - [x] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
mumu	14ba1d4b45	docs: fix numeric errors in tools_chain.ipynb (#24169 ) Description: Corrected several numeric errors in the docs/docs/how_to/tools_chain.ipynb file to ensure the accuracy of the documentation.	2 months ago
Ikko Eltociear Ashimine	18da9f5e59	docs: update custom_chat_model.ipynb (#24170 ) characetrs -> characters	2 months ago
Jacob Lee	c481a2715d	docs[patch]: Add structural example to style guide (#24133 ) CC @nfcampos	2 months ago
ccurme	8ee8ca7c83	core[patch]: propagate `parse_docstring` to tool decorator (#24123 ) Disabled by default. ```python from langchain_core.tools import tool @tool(parse_docstring=True) def foo(bar: str, baz: int) -> str: """The foo. Args: bar: this is the bar baz: this is the baz """ return bar foo.args_schema.schema() ``` ```json { "title": "fooSchema", "description": "The foo.", "type": "object", "properties": { "bar": { "title": "Bar", "description": "this is the bar", "type": "string" }, "baz": { "title": "Baz", "description": "this is the baz", "type": "integer" } }, "required": [ "bar", "baz" ] } ```	2 months ago
Jacob Lee	4121d4151f	docs[patch]: Fix typo (#24132 ) CC @efriis	2 months ago
Matt	8327925ab7	community:support additional Azure Search Options (#24134 ) - Description: Support additional kwargs options for the Azure Search client (Described here https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md#configurations) - Issue: N/A - Dependencies: No additional Dependencies ---------	2 months ago
Mis	10d8c3cbfa	docs: Fix column positioning in the text splitting section for AI21SemanticTextSplitter (#24062 )	2 months ago
Jacob Lee	555c6d3c20	docs[patch]: Updates tool error handling guide, add admonition (#24102 ) @eyurtsev	2 months ago

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4074 Commits (f4ee3c8a223ea4b3d7bd9e08fcd3769c70e3446c)