langchain

Commit Graph

Author	SHA1	Message	Date
William FH	bfd719f9d8	bind_functions convenience method (#12518 ) I always take 20-30 seconds to re-discover where the `convert_to_openai_function` wrapper lives in our codebase. Chat langchain [has no clue](https://smith.langchain.com/public/3989d687-18c7-4108-958e-96e88803da86/r) what to do either. There's the older `create_openai_fn_chain` , but we haven't been recommending it in LCEL. The example we show in the [cookbook](https://python.langchain.com/docs/expression_language/how_to/binding#attaching-openai-functions) is really verbose. General function calling should be as simple as possible to do, so this seems a bit more ergonomic to me (feel free to disagree). Another option would be to directly coerce directly in the class's init (or when calling invoke), if provided. I'm not 100% set against that. That approach may be too easy but not simple. This PR feels like a decent compromise between simple and easy. ``` from enum import Enum from typing import Optional from pydantic import BaseModel, Field class Category(str, Enum): """The category of the issue.""" bug = "bug" nit = "nit" improvement = "improvement" other = "other" class IssueClassification(BaseModel): """Classify an issue.""" category: Category other_description: Optional[str] = Field( description="If classified as 'other', the suggested other category" ) from langchain.chat_models import ChatOpenAI llm = ChatOpenAI().bind_functions([IssueClassification]) llm.invoke("This PR adds a convenience wrapper to the bind argument") # AIMessage(content='', additional_kwargs={'function_call': {'name': 'IssueClassification', 'arguments': '{\n "category": "improvement"\n}'}}) ```	11 months ago
Nuno Campos	3143324984	Improve Runnable type inference for input_schemas (#12630 ) - Prefer lambda type annotations over inferred dict schema - For sequences that start with RunnableAssign infer seq input type as "input type of 2nd item in sequence - output type of runnable assign"	11 months ago
Nuno Campos	2f563cee20	Add Runnable.with_listeners() (#12549 ) - This binds start/end/error listeners to a runnable, which will be called with the Run object	11 months ago
Bagatur	bcc62d63be	bump 327 (#12623 )	11 months ago
Erick Friis	a1fae1fddd	Readme rewrite (#12615 ) Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	11 months ago
Yujie Qian	1dbb77d7db	VoyageEmbeddings (#12608 ) - Description: Integrate VoyageEmbeddings into LangChain, with tests and docs - Issue: N/A - Dependencies: N/A - Tag maintainer: N/A - Twitter handle: @Voyage_AI_ --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
chocolate4	92bf40a921	Add a new vector store hippo for langchain #11763 (#12412 ) #11763 --------- Co-authored-by: TranswarpHippo <hippo.0.assistant@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Karthik Raja A	342d6c7ab6	Multi on client toolkit (#12392 ) Replace this entire comment with: -Add MultiOn close function and update key value and add async functionality - solved the key value TabId not found.. (updated to use latest key value) @hwchase17	11 months ago
Prabin Nepal	b109cb031b	SecretStr for fireworks api (#12475 ) - Description: This pull request removes secrets present in raw format, - Issue: Fireworks api key was exposed when printing out the langchain object [#12165](https://github.com/langchain-ai/langchain/issues/12165) - Maintainer: @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Harrison Chase	a32c236c64	bump cli to 009 (#12611 )	11 months ago
Martin Schade	0c7f1d8b21	Textract linearizer (#12446 ) Description: Textract PDF Loader generating linearized output, meaning it will replicate the structure of the source document as close as possible based on the features passed into the call (e. g. LAYOUT, FORMS, TABLES). With LAYOUT reading order for multi-column documents or identification of lists and figures is supported and with TABLES it will generate the table structure as well. FORMS will indicate "key: value" with columms. - Issue: the issue fixes #12068 - Dependencies: amazon-textract-textractor is added, which provides the linearization - Tag maintainer: @3coins --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Erick Friis	f39246bd7e	cli should pull instead of delete+clone (#12607 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	11 months ago
Harrison Chase	8b5e879171	add a template for the package readme (#12499 ) Co-authored-by: Erick Friis <erick@langchain.dev>	11 months ago
Bagatur	9bedda50f2	Bagatur/lakefs loader2 (#12524 ) Co-authored-by: Jonathan Rosenberg <96974219+Jonathan-Rosenberg@users.noreply.github.com>	11 months ago
Ackermann Yuriy	99b69fe607	Fixed missing optional tags. Added default key value for Ollama (#12599 ) Added missing Optional typings. Added default values for Ollama optional keys. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Bagatur	016813d189	factor out to_secret (#12593 )	11 months ago
hsuyuming	630ae24b28	implement get_num_tokens to use google's count_tokens function (#10565 ) can get the correct token count instead of using gpt-2 model Description: Implement get_num_tokens within VertexLLM to use google's count_tokens function. (https://cloud.google.com/vertex-ai/docs/generative-ai/get-token-count). So we don't need to download gpt-2 model from huggingface, also when we do the mapreduce chain we can get correct token count. Tag maintainer: @lkuligin Twitter handle: My twitter: @abehsu1992626 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Pham Vu Thai Minh	33e77a1007	Async support for FAISS (#11333 ) Following this tutoral about using OpenAI Embeddings with FAISS https://python.langchain.com/docs/integrations/vectorstores/faiss ```python from langchain.embeddings.openai import OpenAIEmbeddings from langchain.text_splitter import CharacterTextSplitter from langchain.vectorstores import FAISS from langchain.document_loaders import TextLoader from langchain.document_loaders import TextLoader loader = TextLoader("../../../extras/modules/state_of_the_union.txt") documents = loader.load() text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) docs = text_splitter.split_documents(documents) embeddings = OpenAIEmbeddings() ``` This works fine ```python db = FAISS.from_documents(docs, embeddings) query = "What did the president say about Ketanji Brown Jackson" docs = db.similarity_search(query) ``` But the async version is not ```python db = await FAISS.afrom_documents(docs, embeddings) # NotImplementedError query = "What did the president say about Ketanji Brown Jackson" docs = await db.asimilarity_search(query) # this will use await asyncio.get_event_loop().run_in_executor under the hood and will not call OpenAIEmbeddings.aembed_query but call OpenAIEmbeddings.embed_query ``` So this PR add async/await supports for FAISS --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	11 months ago
Jeff Zhuo	13b89815a3	Issue: fix the issue #11648 init minimax llm (#12554 ) e https://github.com/langchain-ai/langchain/issues/11648 Minimax llm failed to initialize The idea of this fix is https://github.com/langchain-ai/langchain/issues/10917#issuecomment-1765606725 do not use underscore in python model class --------- Co-authored-by: zhuojianming@cmcm.com <zhuojianming@cmcm.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Florian Valeye	bfb27324cb	[Matching Engine] Update the Matching Engine to include the distance and filters (#12555 ) Hello 👋, This Pull Request adds more capability to the [MatchingEngine](https://api.python.langchain.com/en/latest/vectorstores/langchain.vectorstores.matching_engine.MatchingEngine.html) vectorstore of GCP. It includes the `similarity_search_by_vector_with_relevance_scores` function and also [filters](https://cloud.google.com/vertex-ai/docs/vector-search/filtering) to `filter` the namespaces when retrieving the results. - Description: Add [filter](https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform.MatchingEngineIndexEndpoint#google_cloud_aiplatform_MatchingEngineIndexEndpoint_find_neighbors) in `similarity_search` and add `similarity_search_by_vector_with_relevance_scores` method - Dependencies: None - Tag maintainer: Unknown Thank you! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Harrison Chase	1d51363e49	change project template (#12493 )	11 months ago
Holt Skinner	e53b9ccd70	feat: Add Google Cloud Text-to-Speech Tool (#12572 ) - Add Tool for [Google Cloud Text-to-Speech](https://cloud.google.com/text-to-speech) - Follows similar structure to [Eleven Labs Text2Speech](https://python.langchain.com/docs/integrations/tools/eleven_labs_tts) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Adilkhan Sarsen	6e702b9c36	Deep memory support in LangChain (#12268 ) - Description: adding support to Activeloop's DeepMemory feature that boosts recall up to 25%. Added Jupyter notebook showcasing the feature and also made index params explicit. - Twitter handle: will really appreciate if we could announce this on twitter. --------- Co-authored-by: adolkhan <adilkhan.sarsen@alumni.nu.edu.kz>	11 months ago
billytrend-cohere	b1e3843931	Add client_name="langchain" to Cohere usage (#11328 ) Hey, we're looking to invest more in adding cohere integrations to langchain so would love to get more of an idea for how it's used. Hopefully this pr is acceptable. This week I'm also going to be looking into adding our new [retrieval augmented generation product](https://txt.cohere.com/chat-with-rag/) to langchain. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Bagatur	37aec1e050	bump 326 (#12569 )	11 months ago
Eugene Yurtsev	1b1a2d5740	Image Caption accepts bytes for images (#12561 ) Accept bytes for images in image caption --------- Co-authored-by: webcoderz <19884161+webcoderz@users.noreply.github.com>	11 months ago
Nuno Campos	7897483819	Allow astream_log to be used inside atrace_as_chain_group (#12558 ) <!-- 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/langchain-ai/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. -->	11 months ago
Holt Skinner	e05bb938de	Merge pull request #12433 * feat: Add Google Cloud Translation document transformer * Merge branch 'langchain-ai:master' into google-translate * Add documentation for Google Translate Document Transformer * Fix line length error * Merge branch 'master' into google-translate * Merge branch 'google-translate' of https://github.com/holtskinner/lan… * Addressed code review comments * Merge branch 'master' into google-translate * Merge branch 'google-translate' of https://github.com/holtskinner/lan… * Removed extra variable * Merge branch 'google-translate' of https://github.com/holtskinner/lan… * Merge branch 'master' into google-translate * Merge branch 'google-translate' of https://github.com/holtskinner/lan… * Removed extra import	11 months ago
Samad Koita	d1fdcd4fcb	Masking of API Key for GooseAI LLM (#12496 ) Description: Add masking of API Key for GooseAI LLM when printed. Issue: https://github.com/langchain-ai/langchain/issues/12165 Dependencies: None Tag maintainer: @eyurtsev --------- Co-authored-by: Samad Koita <>	11 months ago
Andrew Zhou	64c4a698a8	More comprehensive readthedocs document loader (#12382 ) ## Description: When building our own readthedocs.io scraper, we noticed a couple interesting things: 1. Text lines with a lot of nested <span> tags would give unclean text with a bunch of newlines. For example, for [Langchain's documentation](https://api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.readthedocs.ReadTheDocsLoader.html#langchain.document_loaders.readthedocs.ReadTheDocsLoader), a single line is represented in a complicated nested HTML structure, and the naive `soup.get_text()` call currently being made will create a newline for each nested HTML element. Therefore, the document loader would give a messy, newline-separated blob of text. This would be true in a lot of cases. <img width="945" alt="Screenshot 2023-10-26 at 6 15 39 PM" src="https://github.com/langchain-ai/langchain/assets/44193474/eca85d1f-d2bf-4487-a18a-e1e732fadf19"> <img width="1031" alt="Screenshot 2023-10-26 at 6 16 00 PM" src="https://github.com/langchain-ai/langchain/assets/44193474/035938a0-9892-4f6a-83cd-0d7b409b00a3"> Additionally, content from iframes, code from scripts, css from styles, etc. will be gotten if it's a subclass of the selector (which happens more often than you'd think). For example, [this page](https://pydeck.gl/gallery/contour_layer.html#) will scrape 1.5 million characters of content that looks like this: <img width="1372" alt="Screenshot 2023-10-26 at 6 32 55 PM" src="https://github.com/langchain-ai/langchain/assets/44193474/dbd89e39-9478-4a18-9e84-f0eb91954eac"> Therefore, I wrote a recursive _get_clean_text(soup) class function that 1. skips all irrelevant elements, and 2. only adds newlines when necessary. 2. Index pages (like [this one](https://api.python.langchain.com/en/latest/api_reference.html)) would be loaded, chunked, and eventually embedded. This is really bad not just because the user will be embedding irrelevant information - but because index pages are very likely to show up in retrieved content, making retrieval less effective (in our tests). Therefore, I added a bool parameter `exclude_index_pages` defaulted to False (which is the current behavior — although I'd petition to default this to True) that will skip all pages where links take up 50%+ of the page. Through manual testing, this seems to be the best threshold. ## Other Information: - Issue: n/a - Dependencies: n/a - Tag maintainer: n/a - Twitter handle: @andrewthezhou --------- Co-authored-by: Andrew Zhou <andrew@heykona.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Peter Vandenabeele	3468c038ba	Add unit tests for document_transformers/beautiful_soup_transformer.py (#12520 ) - Description: * Add unit tests for document_transformers/beautiful_soup_transformer.py * Basic functionality is tested (extract tags, remove tags, drop lines) * add a FIXME comment about the order of tags that is not preserved (and a passing test, but with the expected tags now out-of-order) - Issue: None - Dependencies: None - Tag maintainer: @rlancemartin - Twitter handle: `peter_v` Please make sure your PR is passing linting and testing before submitting. => OK: I ran `make format`, `make test` (passing after install of beautifulsoup4) and `make lint`.	11 months ago
Anirudh Gautam	b257e6a4e8	Mask API key for AI21 LLM (#12418 ) - Description: Added masking of the API Key for AI21 LLM when printed and improved the docstring for AI21 LLM. - Updated the AI21 LLM to utilize SecretStr from pydantic to securely manage API key. - Made improvements in the docstring of AI21 LLM. It now mentions that the API key can also be passed as a named parameter to the constructor. - Added unit tests. - Issue: #12165 - Tag maintainer: @eyurtsev --------- Co-authored-by: Anirudh Gautam <anirudh@Anirudhs-Mac-mini.local>	11 months ago
silvhua	9dead1034c	`_dalle_image_url` returns list of urls if n>1 (#11800 ) - Description: Updated the `_dalle_image_url` method to return a list of URLs if self.n>1, - Issue: #10691, - Dependencies: unsure, - Tag maintainer: @eyurtsev, - Twitter handle: @silvhua --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Bagatur	1815ea2fdb	OpenAI runnable constructor (#12455 )	11 months ago
William FH	a830b809f3	Patch forward ref bug (#12508 ) Currently this gives a bug: ``` from langchain.schema.runnable import RunnableLambda bound = RunnableLambda(lambda x: x).with_config({"callbacks": []}) # ConfigError: field "callbacks" not yet prepared so type is still a ForwardRef, you might need to call RunnableConfig.update_forward_refs(). ``` Rather than deal with cyclic imports and extra load time, etc., I think it makes sense to just have a separate Callbacks definition here that is a relaxed typehint.	11 months ago
William FH	36204c2baf	Evaluation Callback Multi Response (#12505 ) 1. Allow run evaluators to return {"results": [list of evaluation results]} in the evaluator callback. 2. Allows run evaluators to pick the target run ID to provide feedback to (1) means you could do something like a function call that populates a full rubric in one go (not sure how reliable that is in general though) rather than splitting off into separate LLM calls - cheaper and less code to write (2) means you can provide feedback to runs on subsequent calls. Immediate use case is if you wanted to add an evaluator to a chat bot and assign to assign to previous conversation turns have a corresponding one in the SDK	11 months ago
Harrison Chase	9e0ae56287	various templates improvements (#12500 )	11 months ago
0xC9	79cf01366e	Update tool.py (#12472 ) In the GoogleSerperResults class, the name field is defined as 'google_serrper_results_json'. This looks like a typo, and perhaps should be 'google_serper_results_json'. <!-- 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/langchain-ai/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. -->	11 months ago
Harrison Chase	eb903e211c	bump to 36 (#12487 )	11 months ago
Tyler Hutcherson	4209457bdc	Redis langserve template (#12443 ) Add Redis langserve template! Eventually will add semantic caching to this too. But I was struggling to get that to work for some reason with the LCEL implementation here. - Description: Introduces the Redis LangServe template. A simple RAG based app built on top of Redis that allows you to chat with company's public financial data (Edgar 10k filings) - Issue: None - Dependencies: The template contains the poetry project requirements to run this template - Tag maintainer: @baskaryan @Spartee - Twitter handle: @tchutch94 Note: this requires the commit here that deletes the `_aget_relevant_documents()` method from the Redis retriever class that wasn't implemented. That was breaking the langserve app. --------- Co-authored-by: Sam Partee <sam.partee@redis.com>	11 months ago
Erick Friis	9adaa78c65	cli improvements (#12465 ) Features - add multiple repos by their branch/repo - generate `pip install` commands and `add_route()` code ![Screenshot 2023-10-27 at 4 49 52 PM](https://github.com/langchain-ai/langchain/assets/9557659/3aec4cbb-3f67-4f04-8370-5b54ea983b2a) Optimizations: - group installs by repo/branch to avoid duplicate cloning	11 months ago
Adam Law	df4960a6d8	add reranking to azuresearch (#12454 ) -Description Adds returning the reranking score when using semantic search -*Issue: #12317 --------- Co-authored-by: Adam Law <adamlaw@microsoft.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Eugene Yurtsev	60d009f75a	Add security note to API chain (#12452 ) Add security note	11 months ago
Matvey Arye	11505f95d3	Improve handling of empty queries for timescale vector (#12393 ) Description: Improve handling of empty queries in timescale-vector. For timescale-vector it is more efficient to get a None embedding when the embedding has no semantic meaning. It allows timescale-vector to perform more optimizations. Thus, when the query is empty, use a None embedding. Also pass down constructor arguments to the timescale vector client. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Erick Friis	38cee5fae0	cli updates 2 (#12447 ) - extras group - readme - another readme --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	11 months ago
William FH	5d40e36c75	Trace if run tree set (#12444 ) This code path is hit in the following case: - Start in langchain code and manually provide a tracer - Handoff to the traceable - Hand back to langchain code. Which happens for evaluating `@traceable` functions unfortunately	11 months ago
Bagatur	c2a0a6b6df	make doc utils public (#12394 )	11 months ago
Henter	d6888a90d0	Fix the missing temperature parameter for Baichuan-AI chat_model (#12420 ) Description: the missing `temperature` parameter for Baichuan-AI chat_model Baichuan-AI api doc: https://platform.baichuan-ai.com/docs/api	11 months ago
Erick Friis	6908634428	cli updates oct27 (#12436 )	11 months ago
HwangJohn	d38c8369b3	added rrf argument in ApproxRetrievalStrategy class __init__() (#11987 ) - Description: To handle the hybrid search with RRF(Reciprocal Rank Fusion) in the Elasticsearch, rrf argument was added for adjusting 'rank_constant' and 'window_size' to combine multiple result sets with different relevance indicators into a single result set. (ref: https://www.elastic.co/kr/blog/whats-new-elastic-enterprise-search-8-9-0), - Issue: the issue # it fixes (if applicable), - Dependencies: No dependencies changed, - Tag maintainer: @baskaryan, Nice to meet you, I'm a newbie for contributions and it's my first PR. I only changed the langchain/vectorstores/elasticsearch.py file. I did make format&lint I got this message, ```shell make lint_diff ./scripts/check_pydantic.sh . ./scripts/check_imports.sh poetry run ruff . [ "langchain/vectorstores/elasticsearch.py" = "" ] \|\| poetry run black langchain/vectorstores/elasticsearch.py --check All done! ✨ 🍰 ✨ 1 file would be left unchanged. [ "langchain/vectorstores/elasticsearch.py" = "" ] \|\| poetry run mypy langchain/vectorstores/elasticsearch.py langchain/__init__.py: error: Source file found twice under different module names: "mvp.nlp.langchain.libs.langchain.langchain" and "langchain" Found 1 error in 1 file (errors prevented further checking) make: * [lint_diff] Error 2 ``` Thank you --------- Co-authored-by: 황중원 <jwhwang@amorepacific.com>	11 months ago

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