1140 Commits (64febf77519f70a43d15da0b5df0f9bdc41d8792)

Author	SHA1	Message	Date
Eugene Yurtsev	fe4f3b8fdf	x	12 months ago
Eugene Yurtsev	a5b15e9d0f	x	12 months ago
Nuno Campos	5c1f462bb9	Implement better reprs for Runnables	12 months ago
Nan LI	53a9d6115e	Xata chat memory FIX (#11145) ... - **Description:** Changed data type from `text` to `json` in xata for improved performance. Also corrected the `additionalKwargs` key in the `messages()` function to `additional_kwargs` to adhere to `BaseMessage` requirements. - **Issue:** The Chathisroty.messages() will return {} of `additional_kwargs`, as the name is wrong for `additionalKwargs` . - **Dependencies:** N/A - **Tag maintainer:** N/A - **Twitter handle:** N/A My PR is passing linting and testing before submitting.	12 months ago
William FH	8ae9b71e41	Async support for OpenAIFunctionsAgentOutputParser (#11140)	12 months ago
Bagatur	ce08f436db	Expose loads and dumps in load namespace	12 months ago
Nuno Campos	cfa2203c62	Add input/output schemas to runnables (#11063) ... This adds `input_schema` and `output_schema` properties to all runnables, which are Pydantic models for the input and output types respectively. These are inferred from the structure of the Runnable as much as possible, the only manual typing needed is - optionally add type hints to lambdas (which get translated to input/output schemas) - optionally add type hint to RunnablePassthrough These schemas can then be used to create JSON Schema descriptions of input and output types, see the tests - [x] Ensure no InputType and OutputType in our classes use abstract base classes (replace with union of subclasses) - [x] Implement in BaseChain and LLMChain - [x] Implement in RunnableBranch - [x] Implement in RunnableBinding, RunnableMap, RunnablePassthrough, RunnableEach, RunnableRouter - [x] Implement in LLM, Prompt, Chat Model, Output Parser, Retriever - [x] Implement in RunnableLambda from function signature - [x] Implement in Tool <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	12 months ago
Eugene Yurtsev	b05bb9e136	LangServe (#11046) ... Adds LangServe package * Integrate Runnables with Fast API creating Server and a RemoteRunnable client * Support multiple runnables for a given server * Support sync/async/batch/abatch/stream/astream/astream_log on the client side (using async implementations on server) * Adds validation using annotations (relying on pydantic under the hood) -- this still has some rough edges -- e.g., open api docs do NOT generate correctly at the moment * Uses pydantic v1 namespace Known issues: type translation code doesn't handle a lot of types (e.g., TypedDicts) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	12 months ago
Nuno Campos	77ce9ed6f1	Support using async callback handlers with sync callback manager (#10945) ... The current behaviour just calls the handler without awaiting the coroutine, which results in exceptions/warnings, and obviously doesn't actually execute whatever the callback handler does <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	12 months ago
Bagatur	48a04aed75	bump 304 (#11147)	12 months ago
Jonathan Evans	23065f54c0	Added prompt wrapping for Claude with Bedrock (#11090) ... - **Description:** Prompt wrapping requirements have been implemented on the service side of AWS Bedrock for the Anthropic Claude models to provide parity between Anthropic's offering and Bedrock's offering. This overnight change broke most existing implementations of Claude, Bedrock and Langchain. This PR just steals the the Anthropic LLM implementation to enforce alias/role wrapping and implements it in the existing mechanism for building the request body. This has also been tested to fix the chat_model implementation as well. Happy to answer any further questions or make changes where necessary to get things patched and up to PyPi ASAP, TY. - **Issue:** No issue opened at the moment, though will update when these roll in. - **Dependencies:** None --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
xiaoyu	b87cc8b31e	add 3 property types in metadata for notiondb loader (#8509) ... ### Description: NotionDB supports a number of common property types. I have found three common types that are not included in notiondb loader. When programs loaded them with notiondb, which will cause some metadata information not to be passed to langchain. Therefore, I added three common types: - date - created_time - last_edit_time. ### Issue: no ### Dependencies: No dependencies added :) ### Tag maintainer: @rlancemartin, @eyurtsev ### Twitter handle: @BJTUTC	12 months ago
Harrison Chase	258d67b0ac	Revert "improve the performance of base.py" (#11143) ... Reverts langchain-ai/langchain#8610 this is actually an oversight - this merges all dfs into one df. we DO NOT want to do this - the idea is we work and manipulate multiple dfs	12 months ago
Mohamad Zamini	9306394078	improve the performance of base.py (#8610) ... This removes the use of the intermediate df list and directly concatenates the dataframes if path is a list of strings. The pd.concat function combines the dataframes efficiently, making it faster and more memory-efficient compared to appending dataframes to a list. <!-- 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>	12 months ago
Mincoolee	05b75f3f13	feat: add support for arxiv identifier in ArxivAPIWrapper() (#9318) ... - Description: this PR adds the support for arxiv identifier of the ArxivAPIWrapper. I modified the `run()` and `load()` functions in `arxiv.py`, using regex to recognize if the query is in the form of arxiv identifier (see [https://info.arxiv.org/help/find/index.html](https://info.arxiv.org/help/find/index.html)). If so, it will directly search the paper corresponding to the arxiv identifier. I also modified and added tests in `test_arxiv.py`. - Issue: #9047 - Dependencies: N/A - Tag maintainer: N/A --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	12 months ago
William FH	d3c2ca5656	Enhanced pairwise error (#11131)	12 months ago
Taqi Jaffri	b7e9db5e73	Stop sequences in fireworks, plus notebook updates (#11136) ... The new Fireworks and FireworksChat implementations are awesome! Added in this PR https://github.com/langchain-ai/langchain/pull/11117 thank you @ZixinYang However, I think stop words were not plumbed correctly. I've made some simple changes to do that, and also updated the notebook to be a bit clearer with what's needed to use both new models. --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	12 months ago
William FH	33da8bd711	Add Exact match and Regex Match Evaluators (#11132)	12 months ago
Harrison Chase	e355606b11	add more import checks (#11033)	12 months ago
Dan Bolser	efb7c459a2	Update base.py (#10843) ... Fixing a typo in the example code in the docstring... You have to start somewhere though right? Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	12 months ago
tanujtiwari-at	a79f595543	Support extra tools argument for pandas agent toolkit (#11040) ... **Description** We support adding new tools in some toolkits already like the [SQLAgent toolkit](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/agents/agent_toolkits/sql/base.py#L27). Related [SO](https://stackoverflow.com/questions/76583163/are-langchain-toolkits-able-to-be-modified-can-we-add-tools-to-a-pandas-datafra) thread This replicates the same functionality here, so users can add custom bespoke tools.	12 months ago
Bagatur	410ac8129d	bump 303 (#11120)	12 months ago
Bagatur	8e4dbae428	Add fireworks chat model (#11117)	12 months ago
Bagatur	657581dbdf	Fix ChatFireworks typing	12 months ago
Bagatur	12aad659dd	add ChatFireworks to chat_models	12 months ago
Bagatur	872ebdaf90	remove FireworksChat from llms	12 months ago
Bagatur	9451240941	Fix fireworks chat linting issues	12 months ago
Tomáš Dvořák	865a21938c	speed up enforce_stop_tokens helper function (#10984) ... **Description:** As long as `enforce_stop_tokens` returns a first occurrence, we can speed up the execution by setting the optional `maxsplit` parameter to 1. Tag maintainer: @agola11 @hwchase17 <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
Austin Walker	bb41252dab	fix: bump min_unstructured_version for UnstructuredAPIFileLoader (#11025) ... **Description:** New metadata fields were added to `unstructured==0.10.15`, and our hosted api has been updated to reflect this. When users call `partition_via_api` with an older version of the library, they'll hit a parsing error related to the new fields.	12 months ago
William FH	75b3893daf	Fix runnable branch callbacks (#11091) ... We aren't calling on_chain_end here unless we use the default option	12 months ago
Bagatur	6c5251feb0	poetry	12 months ago
Bagatur	5310184f96	poetry	12 months ago
Cynthia Yang	6dd44ff1c0	Refactor Fireworks and add ChatFireworks (#3) (#10597) ... Description * Refactor Fireworks within Langchain LLMs. * Remove FireworksChat within Langchain LLMs. * Add ChatFireworks (which uses chat completion api) to Langchain chat models. * Users have to install `fireworks-ai` and register an api key to use the api. Issue - Not applicable Dependencies - None Tag maintainer - @rlancemartin @baskaryan	12 months ago
Bagatur	5514ebe859	Don't type chains in output_parsers (#11092) ... Can't use TYPE_CHECKING style imports for pydantic params because it will try to instantiate the typed object by default.	12 months ago
CG80499	64385c4eae	Make pairwise comparison chain more like LLM as a judge (#11013) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:**: Adds LLM as a judge as an eval chain - **Tag maintainer:** @hwchase17 Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	12 months ago
Joseph McElroy	175ef0a55d	[ElasticsearchStore] Enable custom Bulk Args (#11065) ... This enables bulk args like `chunk_size` to be passed down from the ingest methods (from_text, from_documents) to be passed down to the bulk API. This helps alleviate issues where bulk importing a large amount of documents into Elasticsearch was resulting in a timeout. Contribution Shoutout - @elastic - [x] Updated Integration tests --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
Eugene Yurtsev	d19fd0cfae	LogEntry/LogStream use str instead of uuid for id (#11080) ... Cast the UUID to a string	12 months ago
Bagatur	d85339b9f2	extract sublinks exclude by abs path (#11079)	12 months ago
Bagatur	7ee8b2d1bf	exclude dirs in async recursive loading (#11077)	12 months ago
Bagatur	12fb393a43	bump 302 (#11070)	12 months ago
Bagatur	097ecef06b	refactor web base loader (#11057)	12 months ago
Bagatur	487611521d	fix root import (#11072)	12 months ago
Bagatur	a2f7246f0e	skip excluded sublinks before recursion (#11036)	12 months ago
William FH	4aec587979	Update LangSmith Walkthrough (#11043)	12 months ago
Harrison Chase	bea78b3271	make warnings more modular (#11047)	12 months ago
Harrison Chase	c87e9fb2ce	conditional imports (#11017)	12 months ago
Tomaz Bratanic	0625ab7a9e	Filtering graph schema for Cypher generation (#10577) ... Sometimes you don't want the LLM to be aware of the whole graph schema, and want it to ignore parts of the graph when it is constructing Cypher statements.	12 months ago
Palau	89ef440c14	Kay retriever (#10657) ... - **Description**: Adding retrievers for [kay.ai](https://kay.ai) and SEC filings powered by Kay and Cybersyn. Kay provides context as a service: it's an API built for RAG. - **Issue**: N/A - **Dependencies**: Just added a dep to the [kay](https://pypi.org/project/kay/) package - **Tag maintainer**: @baskaryan @hwchase17 Discussed in slack - **Twtter handle:** [@vishalrohra_](https://twitter.com/vishalrohra_) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
Harrison Chase	5f13668fa0	Harrison/move vectorstore base (#11030)	12 months ago
Eugene Yurtsev	af5390d416	Add a batch size for cleanup (#10948) ... Add pagination to indexing cleanup to deal with large numbers of documents that need to be deleted.	12 months ago
Eugene Yurtsev	09486ed188	Update Serializable to use classmethods (#10956)	12 months ago
Taqi Jaffri	b7290f01d8	Batching for hf_pipeline (#10795) ... The huggingface pipeline in langchain (used for locally hosted models) does not support batching. If you send in a batch of prompts, it just processes them serially using the base implementation of _generate: https://github.com/docugami/langchain/blob/master/libs/langchain/langchain/llms/base.py#L1004C2-L1004C29 This PR adds support for batching in this pipeline, so that GPUs can be fully saturated. I updated the accompanying notebook to show GPU batch inference. --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	12 months ago
Bagatur	aa6e6db8c7	bump 301 (#11018)	12 months ago
Nuno Campos	956ee981c0	Fix issue where requests wrapper passes auth kwarg twice (#11010) ... <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Closes #8842	12 months ago
Scotty	88a02076af	fix ChatMessageChunk concat error (#10174) ... <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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. These live is docs/extras directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17, @rlancemartin. --> - Description: fix `ChatMessageChunk` concat error - Issue: #10173 - Dependencies: None - Tag maintainer: @baskaryan, @eyurtsev, @rlancemartin - Twitter handle: None --------- Co-authored-by: wangshuai.scotty <wangshuai.scotty@bytedance.com> Co-authored-by: Nuno Campos <nuno@boringbits.io>	12 months ago
Naveen Tatikonda	b0f21e2b50	[OpenSearch] Pass ids using from_texts and indexname in add_texts and search (#10969) ... ### Description This PR makes the following changes to OpenSearch: 1. Pass optional ids with `from_texts` 2. Pass an optional index name with `add_texts` and `search` instead of using the same index name that was used during `from_texts` ### Issue https://github.com/langchain-ai/langchain/issues/10967 ### Maintainers @rlancemartin, @eyurtsev, @navneet1v Signed-off-by: Naveen Tatikonda <navtat@amazon.com>	1 year ago
deanchanter	f945426874	Resolve GHI 10674 (#10977)	1 year ago
Anar	ff732e10f8	LLMRails Embedding (#10959) ... LLMRails Embedding Integration This PR provides integration with LLMRails. Implemented here are: langchain/embeddings/llm_rails.py docs/extras/integrations/text_embedding/llm_rails.ipynb Hi @hwchase17 after adding our vectorstore integration to langchain with confirmation of you and @baskaryan, now we want to add our embedding integration --------- Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Michael Feil	94e31647bd	Support for Gradient.ai embedding (#10968) ... Adds support for gradient.ai's embedding model. This will remain a Draft, as the code will likely be refactored with the `pip install gradientai` python sdk.	1 year ago
C.J. Jameson	05d5fcfdf8	fix make-coverage local invocation #10941 (#10974) ... Fix the invocation of `make coverage` in `libs/langchain` Fixes #10941	1 year ago
Bagatur	040d436b3f	Add vertex scheduled test (#10958)	1 year ago
Piyush Jain	8602a32b7e	Fixes error with providers that don't have model_id (#10966) ... ## Description Fixes error with using the chain for providers that don't have `model_id` field. 	1 year ago
Nuno Campos	7b13292e35	Remove python eval from vector sql db chain (#10937) ... <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	1 year ago
Richard Wang	b809c243af	Fix bug in `index` api (#10614) ... <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description:** a fix for `index`. - **Issue:** Not applicable. - **Dependencies:** None - **Tag maintainer:** - **Twitter handle:** richarddwang # Problem Replication code ```python from pprint import pprint from langchain.embeddings import OpenAIEmbeddings from langchain.indexes import SQLRecordManager, index from langchain.schema import Document from langchain.vectorstores import Qdrant from langchain_setup.qdrant import pprint_qdrant_documents, create_inmemory_empty_qdrant # Documents metadata1 = {"source": "fullhell.alchemist"} doc1_1 = Document(page_content="1-1 I have a dog~", metadata=metadata1) doc1_2 = Document(page_content="1-2 I have a daugter~", metadata=metadata1) doc1_3 = Document(page_content="1-3 Ahh! O..Oniichan", metadata=metadata1) doc2 = Document(page_content="2 Lancer died again.", metadata={"source": "fate.docx"}) # Create empty vectorstore collection_name = "secret_of_D_disk" vectorstore: Qdrant = create_inmemory_empty_qdrant() # Create record Manager import tempfile from pathlib import Path record_manager = SQLRecordManager( namespace="qdrant/{collection_name}", db_url=f"sqlite:///{Path(tempfile.gettempdir())/collection_name}.sql", ) record_manager.create_schema() # 必須 sync_result = index( [doc1_1, doc1_2, doc1_2, doc2], record_manager, vectorstore, cleanup="full", source_id_key="source", ) print(sync_result, end="\n\n") pprint_qdrant_documents(vectorstore) ``` <details> <summary>Code of helper functions `pprint_qdrant_documents` and `create_inmemory_empty_qdrant`</summary> ```python def create_inmemory_empty_qdrant(**from_texts_kwargs): # Qdrant requires vector size, which can be only know after applying embedder vectorstore = Qdrant.from_texts(["dummy"], location=":memory:", embedding=OpenAIEmbeddings(), **from_texts_kwargs) dummy_document_id = vectorstore.client.scroll(vectorstore.collection_name)[0][0].id vectorstore.delete([dummy_document_id]) return vectorstore def pprint_qdrant_documents(vectorstore, limit: int = 100, **scroll_kwargs): document_ids, documents = [], [] for record in vectorstore.client.scroll( vectorstore.collection_name, limit=100, **scroll_kwargs )[0]: document_ids.append(record.id) documents.append( Document( page_content=record.payload["page_content"], metadata=record.payload["metadata"] or {}, ) ) pprint_documents(documents, document_ids=document_ids) def pprint_document(document: Document = None, document_id=None, return_string=False): displayed_text = "" if document_id: displayed_text += f"Document {document_id}:\n\n" displayed_text += f"{document.page_content}\n\n" metadata_text = pformat(document.metadata, indent=1) if "\n" in metadata_text: displayed_text += f"Metadata:\n{metadata_text}" else: displayed_text += f"Metadata:{metadata_text}" if return_string: return displayed_text else: print(displayed_text) def pprint_documents(documents, document_ids=None): if not document_ids: document_ids = [i + 1 for i in range(len(documents))] displayed_texts = [] for document_id, document in zip(document_ids, documents): displayed_text = pprint_document( document_id=document_id, document=document, return_string=True ) displayed_texts.append(displayed_text) print(f"\n{'-' * 100}\n".join(displayed_texts)) ``` </details> You will get ``` {'num_added': 3, 'num_updated': 0, 'num_skipped': 0, 'num_deleted': 0} Document 1b19816e-b802-53c0-ad60-5ff9d9b9b911: 1-2 I have a daugter~ Metadata:{'source': 'fullhell.alchemist'} ---------------------------------------------------------------------------------------------------- Document 3362f9bc-991a-5dd5-b465-c564786ce19c: 1-1 I have a dog~ Metadata:{'source': 'fullhell.alchemist'} ---------------------------------------------------------------------------------------------------- Document a4d50169-2fda-5339-a196-249b5f54a0de: 1-2 I have a daugter~ Metadata:{'source': 'fullhell.alchemist'} ``` This is not correct. We should be able to expect that the vectorsotre now includes doc1_1, doc1_2, and doc2, but not doc1_1, doc1_2, and doc1_2. # Reason In `index`, the original code is ```python uids = [] docs_to_index = [] for doc, hashed_doc, doc_exists in zip(doc_batch, hashed_docs, exists_batch): if doc_exists: # Must be updated to refresh timestamp. record_manager.update([hashed_doc.uid], time_at_least=index_start_dt) num_skipped += 1 continue uids.append(hashed_doc.uid) docs_to_index.append(doc) ``` In the aforementioned example, `len(doc_batch) == 4`, but `len(hashed_docs) == len(exists_batch) == 3`. This is because the deduplication of input documents [doc1_1, doc1_2, doc1_2, doc2] is [doc1_1, doc1_2, doc2]. So `index` insert doc1_1, doc1_2, doc1_2 with the uid of doc1_1, doc1_2, doc2. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Joshua Sundance Bailey	d67b120a41	Make anthropic_api_key a secret str (#10724) ... This PR makes `ChatAnthropic.anthropic_api_key` a `pydantic.SecretStr` to avoid inadvertently exposing API keys when the `ChatAnthropic` object is represented as a str.	1 year ago
Bagatur	1b65779905	fix integration tests (#10952)	1 year ago
Harrison Chase	9062e36722	Harrison/agents structured (#10911)	1 year ago
C.J. Jameson	b4d2663beb	CONTRIBUTING.md Quick Start: focus on langchain core; clarify docs and experimental are separate (#10906) ... follow up to https://github.com/langchain-ai/langchain/pull/7959 , explaining better to focus just on langchain core no dependencies twitter @cjcjameson	1 year ago
Michael Landis	f30b4697d4	fix: broken link in libs/langchain README (#10920) ... **Description** Fixes broken link to `CONTRIBUTING.md` in `libs/langchain/README.md`. Because`libs/langchain/README.md` was copied from the top level README, and because the README contains a link to `.github/CONTRIBUTING.md`, the copied README's link relative path must be updated. This commit fixes that link.	1 year ago
Bagatur	3cb460d5d8	bump 300 (#10940)	1 year ago
Nuno Campos	3d5e92e3ef	Accept run name arg for non-chain runs (#10935)	1 year ago
Nuno Campos	aac2d4dcef	In MergerRetriever async call all retrievers in parallel (#10938)	1 year ago
German Martin	66d5a7e7cf	Add async support to multi-query retriever. (#10873) ... Added async support to the MultiQueryRetriever class. --------- Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
Leonid Kuligin	9d4b710a48	small fixes to Vertex (#10934) ... Fixed tests, updated the required version of the SDK and a few minor changes after the recent improvement (https://github.com/langchain-ai/langchain/pull/10910)	1 year ago
wo0d	4e58b78102	Fix chat_history message order (#10869) ... Not all databases uses id as default order, so add it explicitly sqlite uses rawid as default order in select statement: [https://www.sqlite.org/lang_createtable.html#rowid](https://www.sqlite.org/lang_createtable.html#rowid), but some other databases like postgresql not behaves like this. since this class supports multiple db engine. we should have an order.	1 year ago
Roman Shaptala	3d40de75c5	Fix default refine prompt template bug (#10928) ... **Description:** Default refine template does not actually use the refine template defined above, it uses a string with the variable name. @baskaryan, @eyurtsev, @hwchase17	1 year ago
Bagatur	cab55e9bc1	add vertex prod features (#10910) ... - chat vertex async - vertex stream - vertex full generation info - vertex use server-side stopping - model garden async - update docs for all the above in follow up will add [] chat vertex full generation info [] chat vertex retries [] scheduled tests	1 year ago
Bagatur	dccc20b402	add model feat table (#10921)	1 year ago
William FH	ee8653f62c	Wfh/allow nonparallel (#10914)	1 year ago
Leonid Kuligin	95e1d1fae6	fix in the docstring (#10902) ... Description: A fix in the documentation on how to use `GoogleSearchAPIWrapper`.	1 year ago
Bagatur	af41bc84e6	bump 299 (#10904)	1 year ago
Bagatur	9a858a9107	Bagatur/arxiv kwargs (#10903) ... support all arXiv api wrapper kwargs in loader	1 year ago
niklas	e5f420d2bc	Fix typo in URL document loader example (#10585) ... - **Description:** Fix typo in URL document loader example - **Issue:** N/A - **Dependencies:** N/A - **Tag maintainer:** not urgent	1 year ago
Nuno Campos	ea26c12b23	Fix Runnable.transform() for false-y inputs (#10893) ... --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Nuno Campos	fcb5aba9f0	Add `Runnable.astream_log()` (#10374) ... --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	a1ade48e8f	update agent docs (#10894)	1 year ago
Bagatur	d37ce48e60	sep base url and loaded url in sub link extraction (#10895)	1 year ago
Bagatur	24cb5cd379	bump 298 (#10892)	1 year ago
Bagatur	c1f9cc0bc5	recursive loader add status check (#10891)	1 year ago
Matvey Arye	6e02c45ca4	Add integration for Timescale Vector(Postgres) (#10650) ... **Description:** This commit adds a vector store for the Postgres-based vector database (`TimescaleVector`). Timescale Vector(https://www.timescale.com/ai) is PostgreSQL++ for AI applications. It enables you to efficiently store and query billions of vector embeddings in `PostgreSQL`: - Enhances `pgvector` with faster and more accurate similarity search on 1B+ vectors via DiskANN inspired indexing algorithm. - Enables fast time-based vector search via automatic time-based partitioning and indexing. - Provides a familiar SQL interface for querying vector embeddings and relational data. Timescale Vector scales with you from POC to production: - Simplifies operations by enabling you to store relational metadata, vector embeddings, and time-series data in a single database. - Benefits from rock-solid PostgreSQL foundation with enterprise-grade feature liked streaming backups and replication, high-availability and row-level security. - Enables a worry-free experience with enterprise-grade security and compliance. Timescale Vector is available on Timescale, the cloud PostgreSQL platform. (There is no self-hosted version at this time.) LangChain users get a 90-day free trial for Timescale Vector. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Avthar Sewrathan <avthar@timescale.com>	1 year ago
Michael Feil	55570e54e1	gradient.ai LLM intregration (#10800) ... - **Description:** This PR implements a new LLM API to https://gradient.ai - **Issue:** Feature request for LLM #10745 - **Dependencies**: No additional dependencies are introduced. - **Tag maintainer:** I am opening this PR for visibility, once ready for review I'll tag. - ```make format && make lint && make test``` is running. - added a `integration` and `mock unit` test. Co-authored-by: michaelfeil <me@michaelfeil.eu> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	5097007407	cleanup recursive url session (#10863)	1 year ago
Harrison Chase	777b33b873	fix experimental imports (#10875)	1 year ago
Harrison Chase	808caca607	beef up agent docs (#10866)	1 year ago
Sharath Rajasekar	96023f94d9	Add Javelin integration (#10275) ... We are introducing the py integration to Javelin AI Gateway www.getjavelin.io. Javelin is an enterprise-scale fast llm router & gateway. Could you please review and let us know if there is anything missing. Javelin AI Gateway wraps Embedding, Chat and Completion LLMs. Uses javelin_sdk under the covers (pip install javelin_sdk). Author: Sharath Rajasekar, Twitter: @sharathr, @javelinai Thanks!!	1 year ago
Bagatur	957956ba6d	bump 297 (#10861)	1 year ago
Harrison Chase	1bc3244db9	fix loading of sql chain (#10860) ... Closing #6889	1 year ago
Bagatur	b05a74b106	fix recursive loader (#10856)	1 year ago
Bagatur	de0a02f507	fix extract sublink bug (#10855)	1 year ago
Harrison Chase	7dec2d399b	format intermediate steps (#10794) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Harrison Chase	386ef1e654	add agent output parsers (#10790)	1 year ago
Mukit Momin	67c5950df3	Amazon Bedrock Support Streaming (#10393) ... ### Description - Add support for streaming with `Bedrock` LLM and `BedrockChat` Chat Model. - Bedrock as of now supports streaming for the `anthropic.claude-*` and `amazon.titan-*` models only, hence support for those have been built. - Also increased the default `max_token_to_sample` for Bedrock `anthropic` model provider to `256` from `50` to keep in line with the `Anthropic` defaults. - Added examples for streaming responses to the bedrock example notebooks. **_NOTE:_**: This PR fixes the issues mentioned in #9897 and makes that PR redundant.	1 year ago
Bagatur	0749a642f5	Stream refac and vertex streaming (#10470) ... --------- Co-authored-by: Terry Cruz Melo <tcruz@vozy.co> Co-authored-by: Terry Cruz Melo <33166112+TerryCM@users.noreply.github.com>	1 year ago
William FH	f421af8b80	Criteria Parser Improvements (#10824)	1 year ago
Bagatur	46aa90062b	bump exp 19 (#10851)	1 year ago
Bagatur	775f3edffd	bump 296 (#10842)	1 year ago
Bagatur	96a9c27116	fix recursive loader (#10752) ... maintain same base url throughout recursion, yield initial page, fixing recursion depth tracking	1 year ago
Nuno Campos	276125a33b	Use shallow copy on runnable locals (#10825) ... - deep copy prevents storing complex objects in locals	1 year ago
DanielZzz	ebe08412ad	fix: chat_models Qianfan not compatiable with SystemMessage (#10642) ... - **Description:** QianfanEndpoint bugs for SystemMessages. When the `SystemMessage` is input as the messages to `chat_models.QianfanEndpoint`. A `TypeError` will be raised. - **Issue:** #10643 - **Dependencies:** - **Tag maintainer:** @baskaryan - **Twitter handle:** no	1 year ago
Massimiliano Pronesti	f0198354d9	fix(embeddings): number of texts in Azure OpenAIEmbeddings batch (#10707) ... This PR addresses the limitation of Azure OpenAI embeddings, which can handle at maximum 16 texts in a batch. This can be solved setting `chunk_size=16`. However, I'd love to have this automated, not to force the user to figure where the issue comes from and how to solve it. Closes #4575. @baskaryan --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
zhanghexian	0abe996409	add clustered vearch in langchain (#10771) ... --------- Co-authored-by: zhanghexian1 <zhanghexian1@jd.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
HeTaoPKU	f505320a73	Add Minimax chat model (#10776) ... resolve the merging issues for https://github.com/langchain-ai/langchain/pull/6757 --------- Co-authored-by: 何涛 <taohe@bytedance.com>	1 year ago
Anar	c656a6b966	LLMRails (#10796) ... ### LLMRails Integration This PR provides integration with LLMRails. Implemented here are: langchain/vectorstore/llm_rails.py tests/integration_tests/vectorstores/test_llm_rails.py docs/extras/integrations/vectorstores/llm-rails.ipynb --------- Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
mateai	900dbd1cbe	Substring support for similarity_search_with_score (#10746) ... **Description:** Possible to filter with substrings in similarity_search_with_score, for example: filter={'user_id': {'substring': 'user'}} --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Ansil M B	740eafe41d	Updated return parameter of YouTubeSearchTool (#10743) ... **Description:** changed return parameter of YouTubeSearchTool 1. changed the returning links of youtube videos by adding prefix "https://www.youtube.com", now this will return the exact links to the videos 2. updated the returning type from 'string' to 'list', which will be more suited for further processings **Issue:** Fixes #10742 **Dependencies:** None <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** changed return parameter of YouTubeSearchTool - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** None - **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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	1dae3c383e	Harrison/add submodule to docs (#10803)	1 year ago
Henry (Hezheng) Yin	c15bbaac31	misc: add gpt-3.5-turbo-instruct to model_token_mapping (#10808) ... A one-line fix to get`max_tokens=-1` working `OpenAI` class for `gpt-3.5-turbo-instruct` model. Closes https://github.com/langchain-ai/langchain/issues/10806	1 year ago
Harrison Chase	d2bee34d4c	Harrison/add vald (#10807) ... Co-authored-by: datelier <57349093+datelier@users.noreply.github.com>	1 year ago
Jacob Lee	bbc3fe259b	Start RunnableBranch callback tags with 1 instead of 0 (#10755) ... Changes to match `RunnableSequences` @eyurtsev	1 year ago
Ziyang Liu	931b292126	Add support for HTTP PUT in the open api agent prompt (#10763) ... **Description:** This PR adds HTTP PUT support for the langchain openapi agent toolkit by leveraging existing structure and HTTP put request wrapper. The PUT method is almost identical to HTTP POST but should be idempotent and therefore tighter than POST which is not idempotent. Some APIs may consider to use PUT instead of POST which is unfortunately not supported with the current toolkit yet.	1 year ago
Mateusz Wosinski	a29cd89923	Synthetic data generation (#9759) ... ### Description Implements synthetic data generation with the fields and preferences given by the user. Adds showcase notebook. Corresponding prompt was proposed for langchain-hub. ### Example ``` output = chain({"fields": {"colors": ["blue", "yellow"]}, "preferences": {"style": "Make it in a style of a weather forecast."}}) print(output) # {'fields': {'colors': ['blue', 'yellow']}, 'preferences': {'style': 'Make it in a style of a weather forecast.'}, 'text': "Good morning! Today's weather forecast brings a beautiful combination of colors to the sky, with hues of blue and yellow gently blending together like a mesmerizing painting."} ``` ### Twitter handle @deepsense_ai @matt_wosinski --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	c4a6de3fc9	Revert "Add ChatGLM for llm and chat_model by using ChatGLM API (#9797)" (#10805) ... @etveritas reverting for now until this is resolved https://github.com/langchain-ai/langchain/pull/9797/files#r1330795585, apologies for merging too eagerly!	1 year ago
Mickaël	c86a1a6710	chore: allow using dataclasses_json dependency v0.6.0 (#10775) ... **Description:** upgrade the `dataclasses_json` dependency to its latest version ([no real breaking change](https://github.com/lidatong/dataclasses-json/releases/tag/v0.6.0) if used correctly), while allowing previous version to not break other users' setup **Issue:** I need to use the latest version of that dependency in my project, but `langchain` prevents it. Note: it looks like running `poetry lock --no-update` did some changes to the lockfiles as it was the first time it was with the `macosx_11_0_arm64` architecture 🤷 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Bagatur	76dd7480e6	Add batch_size param to Weaviate vector store (#9890) ... cc @mcantillon21 @hsm207 @cs0lar	1 year ago
Mateusz Wosinski	720f6dbaac	Add XMLOutputParser (#10051) ... **Description** Adds new output parser, this time enabling the output of LLM to be of an XML format. Seems to be particularly useful together with Claude model. Addresses [issue 9820](https://github.com/langchain-ai/langchain/issues/9820). **Twitter handle** @deepsense_ai @matt_wosinski	1 year ago
etVERITAS	d6df288380	Add ChatGLM for llm and chat_model by using ChatGLM API (#9797) ... using sample: ``` endpoint_url = API URL ChatGLM_llm = ChatGLM( endpoint_url=endpoint_url, api_key=Your API Key by ChatGLM ) print(ChatGLM_llm("hello")) ``` ``` model = ChatChatGLM( chatglm_api_key="api_key", chatglm_api_base="api_base_url", model_name="model_name" ) chain = LLMChain(llm=model) ``` Description: The call of ChatGLM has been adapted. Issue: The call of ChatGLM has been adapted. Dependencies: Need python package `zhipuai` and `aiostream` Tag maintainer: @baskaryan Twitter handle: None I remove the compatibility test for pydantic version 2, because pydantic v2 can't not pickle classmethod,but BaseModel use @root_validator is a classmethod decorator. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	d60145229b	make agent action serializable (#10797) ... Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 year ago
Maxime Bourliatoux	21b236e5e4	Fixing _InactiveRpcError in MatchingEngine vectorstore (#10056) ... - Description: There was an issue with the MatchingEngine VectorStore, preventing from using it with a public endpoint. In the Google Cloud library there are two similar methods for private or public endpoints : `match()` and `find_neighbors()`. - Issue: Fixes #8378 - This uses the `google.cloud.aiplatform` library : https://github.com/googleapis/python-aiplatform/blob/main/google/cloud/aiplatform/matching_engine/matching_engine_index_endpoint.py	1 year ago
Sam Chou	4f19ba3065	Azure Search: Remove select field restrictions and expand metadata to other fields, also expose kwargs to searches (#9894) ... Description: If metadata field returned in results, previous behavior unchanged. If metadata field does not exist in results, expand metadata to any fields returned outside of content field. There's precedence for this as well, see the retriever: https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/retrievers/azure_cognitive_search.py#L96C46-L96C46 Issue: #9765 - Ameliorates hard-coding in case you already indexed to cognitive search without a metadata field but rather placed metadata in separate fields. @hwchase17	1 year ago
Piyush Jain	94cf71ecfa	Updated Neptune graph to use boto (#10121) ... ## Description This PR updates the `NeptuneGraph` class to start using the boto API for connecting to the Neptune service. With boto integration, the graph class now supports authenticating requests using Sigv4; this is encapsulated with the boto API, and users only have to ensure they have the correct AWS credentials setup in their workspace to work with the graph class. This PR also introduces a conditional prompt that uses a simpler prompt when using the `Anthropic` model provider. A simpler prompt have seemed to work better for generating cypher queries in our testing. **Note**: This version will require boto3 version 1.28.38 or greater to work.	1 year ago
Douglas Monsky	d5f1969d55	Introducing Enhanced Functionality to WeaviateHybridSearchRetriever: Accepting Additional Keyword Arguments (#10802) ... **Description:** This commit enriches the `WeaviateHybridSearchRetriever` class by introducing a new parameter, `hybrid_search_kwargs`, within the `_get_relevant_documents` method. This parameter accommodates arbitrary keyword arguments (`**kwargs`) which can be channeled to the inherited public method, `get_relevant_documents`, originating from the `BaseRetriever` class. This modification facilitates more intricate querying capabilities, allowing users to convey supplementary arguments to the `.with_hybrid()` method. This expansion not only makes it possible to perform a more nuanced search targeting specific properties but also grants the ability to boost the weight of searched properties, to carry out a search with a custom vector, and to apply the Fusion ranking method. The documentation has been updated accordingly to delineate these new possibilities in detail. In light of the layered approach in which this search operates, initiating with `query.get()` and then transitioning to `.with_hybrid()`, several advantageous opportunities are unlocked for the hybrid component that were previously unattainable. Here’s a representative example showcasing a query structure that was formerly unfeasible: [Specific Properties Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only) "The example below illustrates a BM25 search targeting the keyword 'food' exclusively within the 'question' property, integrated with vector search results corresponding to 'food'." ```python response = ( client.query .get("JeopardyQuestion", ["question", "answer"]) .with_hybrid( query="food", properties=["question"], # Will now be possible moving forward alpha=0.25 ) .with_limit(3) .do() ) ``` This functionality is now accessible through my alterations, by conveying `hybrid_search_kwargs={"properties": ["question", "answer"]}` as an argument to `WeaviateHybridSearchRetriever.get_relevant_documents()`. For example: ```python import os from weaviate import Client from langchain.retrievers import WeaviateHybridSearchRetriever client = Client( url=os.getenv("WEAVIATE_CLIENT_URL"), additional_headers={ "X-OpenAI-Api-Key": os.getenv("OPENAI_API_KEY"), "Authorization": f"Bearer {os.getenv('WEAVIATE_API_KEY')}", }, ) index_name = "Document" text_key = "content" attributes = ["title", "summary", "header", "url"] retriever = ExtendedWeaviateHybridSearchRetriever( client=client, index_name=index_name, text_key=text_key, attributes=attributes, ) # Warning: to utilize properties in this way, each use property must also be in the list `attributes + [text_key]`. hybrid_search_kwargs = {"properties": ["summary^2", "content"]} query_text = "Some Query Text" relevant_docs = retriever.get_relevant_documents( query=query_text, hybrid_search_kwargs=hybrid_search_kwargs ) ``` In my experience working with the `weaviate-client` library, I have found that these supplementary options stand as vital tools for refining/finetuning searches, notably within multifaceted datasets. As a final note, this implementation supports both backwards and forward (within reason) compatiblity. It accommodates any future additional parameters Weaviate may add to `.with_hybrid()`, without necessitating further alterations. **Additional Documentation:** For a more comprehensive understanding and to explore a myriad of useful options that are now accessible, please refer to the Weaviate documentation: - [Fusion Ranking Method](https://weaviate.io/developers/weaviate/search/hybrid#fusion-ranking-method) - [Selected Properties Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only) - [Weight Boost Searched Properties](https://weaviate.io/developers/weaviate/search/hybrid#weight-boost-searched-properties) - [With a Custom Vector](https://weaviate.io/developers/weaviate/search/hybrid#with-a-custom-vector) **Tag Maintainer:** @hwchase17 - I have tagged you based on your frequent contributions to the pertinent file, `/retrievers/weaviate_hybrid_search.py`. My apologies if this was not the appropriate choice. Thank you for considering my contribution, I look forward to your feedback, and to future collaboration.	1 year ago
Jacob Lee	61cecf8b1b	Fix for versioned OpenAI instruct models (#10788) ... Versioned OpenAI instruct models may end with numbers, e.g. `gpt-3.5-turbo-instruct-0914`. Fixes https://github.com/langchain-ai/langchainjs/issues/2669 in Python	1 year ago
Cory Zue	62603f2664	make auto-setting the encodings optional, alow explicitly setting it (#10774) ... I was trying to use web loaders on some spanish documentation (e.g. [this site](https://www.fromdoppler.com/es/mailing-tendencias/), but the auto-encoding introduced in https://github.com/langchain-ai/langchain/pull/3602 was detected as "MacRoman" instead of the (correct) "UTF-8". To address this, I've added the ability to disable the auto-encoding, as well as the ability to explicitly tell the loader what encoding to use. - **Description:** Makes auto-setting the encoding optional in `WebBaseLoader`, and introduces an `encoding` option to explicitly set it. - **Dependencies:** N/A - **Tag maintainer:** @hwchase17 - **Twitter handle:** @czue	1 year ago
Harrison Chase	c68be4eb2b	tool rendering (#10786)	1 year ago
Aashish Saini	1b050b98f5	Corrected some spelling mistakes and grammatical errors (#10791) ... Corrected some spelling mistakes and grammatical errors CC: @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Ishita Chauhan <136303787+IshitaChauhanShortHillsAI@users.noreply.github.com> Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com> Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@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> Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com> Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com> Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com> Co-authored-by: Lakshya <lakshyagupta87@yahoo.com> Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com> Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com> Co-authored-by: ishita <chauhanishita5356@gmail.com>	1 year ago
Ahmad Bunni	5272e42b0d	Add namespace to pinecone hybrid search (#10677) ... **Description:** Pinecone hybrid search is now limited to default namespace. There is no option for the user to provide a namespace to partition an index, which is one of the most important features of pinecone. **Resource:** https://docs.pinecone.io/docs/namespaces --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Bagatur	0d1550da91	Bagatur/bump 295 (#10785)	1 year ago
Vikram Shitole	a4e858b111	Sagemaker endpoint capability to inject boto3 client for cross account scenarios (#10728) ... - **Description: Allow to inject boto3 client for Cross account access type of scenarios in using Sagemaker Endpoint ** - **Issue:#10634 #10184** - **Dependencies: None** - **Tag maintainer:** - **Twitter handle:lethargicoder** Co-authored-by: Vikram(VS) <vssht@amazon.com>	1 year ago
William FH	c8f386db97	Merge metadata + tags in config (#10762) ... Think these should be a merge/update rather than overwrite	1 year ago
BarberAlec	c898a4d7ba	Update ContextCallbackHandler Docstring & metadata key (#10732) ... - **Description:** Updating URL in Context Callback Docstrings and update metadata key Context CallbackHandler uses to send model names. - **Issue:** The URL in ContextCallbackHandler is out of date. Model data being sent to Context should be under the "model" key and not "llm_model". This allows Context to do more sophisticated analysis. - **Dependencies:** None Tagging @agamble.	1 year ago
Harrison Chase	8b68d1a03b	keep reference to old embeddings base (#10759)	1 year ago
Jacob Lee	babf46692d	Allow extra variables when invoking prompt templates (#10765) ... Makes chaining easier as many maps have extra properties. @baskaryan @hwchase17	1 year ago
Bagatur	8515e27d82	bump 294 (#10751)	1 year ago
Jacob Lee	579d14fbc1	Allow 3.5-turbo instruct models in the OpenAI LLM class (#10750) ... @baskaryan @hwchase17	1 year ago
Harrison Chase	e404fd39dd	add anthropic page (#10666)	1 year ago
Bagatur	5072138893	bump 293 (#10740)	1 year ago
Harrison Chase	12ff780089	move embeddings to schema (#10696)	1 year ago
Jiayi Ni	ce61840e3b	ENH: Add `llm_kwargs` for Xinference LLMs (#10354) ... - This pr adds `llm_kwargs` to the initialization of Xinference LLMs (integrated in #8171 ). - With this enhancement, users can not only provide `generate_configs` when calling the llms for generation but also during the initialization process. This allows users to include custom configurations when utilizing LangChain features like LLMChain. - It also fixes some format issues for the docstrings.	1 year ago
Eugene Yurtsev	1eefb9052b	RunnableBranch (#10594) ... Runnable Branch implementation, no optimization for streaming logic yet	1 year ago
William FH	287c81db89	Catch Base Exception (#10607) ... Currently the on_*_error isn't called for CancellationError's. This is because in python 3.8, the inheritance changed from Exception to BaseException https://docs.python.org/3/library/asyncio-exceptions.html#asyncio.CancelledError	1 year ago