langchain

Commit Graph

Author	SHA1	Message	Date
Ethan Yang	48f84e253e	community[minor]: Add OpenVINO rerank model support (#19791 ) @eaidova @AlexKoff88 Could you help to review, thanks --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
shahrin014	f51e6a35ba	community[patch]: OllamaEmbeddings - Pass headers to post request (#16880 ) ## Feature - Set additional headers in constructor - Headers will be sent in post request This feature is useful if deploying Ollama on a cloud service such as hugging face, which requires authentication tokens to be passed in the request header. ## Tests - Test if header is passed - Test if header is not passed Similar to https://github.com/langchain-ai/langchain/pull/15881 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
高璟琦	ec7a59c96c	community[minor]: Add solar embedding (#19761 ) Solar is a large language model developed by [Upstage](https://upstage.ai/). It's a powerful and purpose-trained LLM. You can visit the embedding service provided by Solar within this pr. You may get SOLAR_API_KEY from https://console.upstage.ai/services/embedding You can refer to more details about accepted llm integration at https://python.langchain.com/docs/integrations/llms/solar.	6 months ago
Ethan Yang	7164015135	community[minor]: Add Openvino embedding support (#19632 ) This PR is used to support both HF and BGE embeddings with openvino --------- Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>	6 months ago
T Cramer	540ebf35a9	community[patch]: Add explicit error message to Bedrock error output. (#17328 ) - Description: Propagate Bedrock errors into Langchain explicitly. Use-case: unset region error is hidden behind 'Could not load credentials...' message - Issue: [17654](https://github.com/langchain-ai/langchain/issues/17654) - Dependencies: None --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
kYLe	124ab79c23	community[minor]: Add Anyscale embedding support (#17605 ) Description: Add embedding model support for Anyscale Endpoint Dependencies: openai --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Lance Martin	12843f292f	community[patch]: llama cpp embeddings reset default n_batch (#17594 ) When testing Nomic embeddings -- ``` from langchain_community.embeddings import LlamaCppEmbeddings embd_model_path = "/Users/rlm/Desktop/Code/llama.cpp/models/nomic-embd/nomic-embed-text-v1.Q4_K_S.gguf" embd_lc = LlamaCppEmbeddings(model_path=embd_model_path) embedding_lc = embd_lc.embed_query(query) ``` We were seeing this error for strings > a certain size -- ``` File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/llama.py:827, in Llama.embed(self, input, normalize, truncate, return_count) 824 s_sizes = [] 826 # add to batch --> 827 self._batch.add_sequence(tokens, len(s_sizes), False) 828 t_batch += n_tokens 829 s_sizes.append(n_tokens) File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/_internals.py:542, in _LlamaBatch.add_sequence(self, batch, seq_id, logits_all) 540 self.batch.token[j] = batch[i] 541 self.batch.pos[j] = i --> 542 self.batch.seq_id[j][0] = seq_id 543 self.batch.n_seq_id[j] = 1 544 self.batch.logits[j] = logits_all ValueError: NULL pointer access ``` The default `n_batch` of llama-cpp-python's Llama is `512` but we were explicitly setting it to `8`. These need to be set to equal for embedding models. * The embedding.cpp example has an assertion to make sure these are always equal. * Apparently this is not being done properly in llama-cpp-python. With `n_batch` set to 8, if more than 8 tokens are passed the batch runs out of space and it crashes. This also explains why the CPU compute buffer size was small: raw client with default `n_batch=512` ``` llama_new_context_with_model: CPU input buffer size = 3.51 MiB llama_new_context_with_model: CPU compute buffer size = 21.00 MiB ``` langchain with `n_batch=8` ``` llama_new_context_with_model: CPU input buffer size = 0.04 MiB llama_new_context_with_model: CPU compute buffer size = 0.33 MiB ``` We can work around this by passing `n_batch=512`, but this will not be obvious to some users: ``` embedding = LlamaCppEmbeddings(model_path=embd_model_path, n_batch=512) ``` From discussion w/ @cebtenzzre. Related: https://github.com/abetlen/llama-cpp-python/issues/1189 Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
hulitaitai	dc2c9dd4d7	Update text2vec.py (#19657 ) Add that URL of the embedding tool "text2vec". Fix minor mistakes in the doc-string.	6 months ago
yuwenzho	3a7d2cf443	community[minor]: Add ITREX optimized Embeddings (#18474 ) Introduction [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms Description adding ITREX runtime embeddings using intel-extension-for-transformers. added mdx documentation and example notebooks added embedding import testing. --------- Signed-off-by: yuwenzho <yuwen.zhou@intel.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Tom Aarsen	e0a1278d2b	docs: HFEmbeddings: Add more information to model_kwargs/encode_kwargs (#19594 ) - Description: Be more explicit with the `model_kwargs` and `encode_kwargs` for `HuggingFaceEmbeddings`. - Issue: - - Dependencies: - I received some reports by my users that they didn't realise that you could change the default `batch_size` with `HuggingFaceEmbeddings`, which may be attributed to how the `model_kwargs` and `encode_kwargs` don't give much information about what you can specify. I've added some parameter names & links to the Sentence Transformers documentation to help clear it up. Let me know if you'd rather have Markdown/Sphinx-style hyperlinks rather than a "bare URL". - Tom Aarsen	6 months ago
hulitaitai	d7c14cb6f9	community[minor]: Add embeddings integration for text2vec (#19267 ) Create a Class which allows to use the "text2vec" open source embedding model. It should install the model by running 'pip install -U text2vec'. Example to call the model through LangChain: from langchain_community.embeddings.text2vec import Text2vecEmbeddings embedding = Text2vecEmbeddings() bookend.embed_documents([ "This is a CoSENT(Cosine Sentence) model.", "It maps sentences to a 768 dimensional dense vector space.", ]) bookend.embed_query( "It can be used for text matching or semantic search." ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Anindyadeep	b2a11ce686	community[minor]: Prem AI langchain integration (#19113 ) ### Prem SDK integration in LangChain This PR adds the integration with [PremAI's](https://www.premai.io/) prem-sdk with langchain. User can now access to deployed models (llms/embeddings) and use it with langchain's ecosystem. This PR adds the following: ### This PR adds the following: - [x] Add chat support - [X] Adding embedding support - [X] writing integration tests - [X] writing tests for chat - [X] writing tests for embedding - [X] writing unit tests - [X] writing tests for chat - [X] writing tests for embedding - [X] Adding documentation - [X] writing documentation for chat - [X] writing documentation for embedding - [X] run `make test` - [X] run `make lint`, `make lint_diff` - [X] Final checks (spell check, lint, format and overall testing) --------- Co-authored-by: Anindyadeep Sannigrahi <anindyadeepsannigrahi@Anindyadeeps-MacBook-Pro.local> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Dmitry Tyumentsev	08b769d539	community[patch]: YandexGPT Use recent yandexcloud sdk version (#19341 ) Fixed inability to work with [yandexcloud SDK](https://pypi.org/project/yandexcloud/) version higher 0.265.0	6 months ago
Mikelarg	dac2e0165a	community[minor]: Added GigaChat Embeddings support + updated previous GigaChat integration (#19516 ) - Description: Added integration with [GigaChat](https://developers.sber.ru/portal/products/gigachat) embeddings. Also added support for extra fields in GigaChat LLM and fixed docs.	6 months ago
billytrend-cohere	63343b4987	cohere[patch]: add cohere as a partner package (#19049 ) Description: adds support for langchain_cohere --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Sergey Kozlov	1a55e950aa	community[patch]: support fastembed v1 and v2 (#19125 ) Description: #18040 forces `fastembed>2.0`, and this causes dependency conflicts with the new `unstructured` package (different `onnxruntime`). There may be other dependency conflicts.. The only way to use `langchain-community>=0.0.28` is rollback to `unstructured 0.10.X`. But new `unstructured` contains many fixes. This PR allows to use both `fastembed` `v1` and `v2`. How to reproduce: `pyproject.toml`: ```toml [tool.poetry] name = "depstest" version = "0.0.0" description = "test" authors = ["<dev@example.org>"] [tool.poetry.dependencies] python = ">=3.10,<3.12" langchain-community = "^0.0.28" fastembed = "^0.2.0" unstructured = {extras = ["pdf"], version = "^0.12"} ``` ```bash $ poetry lock ``` Co-authored-by: Sergey Kozlov <sergey.kozlov@ludditelabs.io>	7 months ago
case-k	ebc4a64f9e	docs: fix databricks document url (#19096 ) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	7 months ago
Guangdong Liu	cced3eb9bc	community[patch]: Fix sparkllm embeddings api bug. (#19122 ) - Description: Fix sparkllm embeddings api bug. @baskaryan PTAL	7 months ago
Erick Friis	7ce81eb6f4	voyageai[patch]: init package (#19098 ) Co-authored-by: fodizoltan <zoltan@conway.expert> Co-authored-by: Yujie Qian <thomasq0809@gmail.com> Co-authored-by: fzowl <160063452+fzowl@users.noreply.github.com>	7 months ago
billytrend-cohere	7253b816cc	community: Add support for cohere SDK v5 (keeps v4 backwards compatibility) (#19084 ) - Description: Add support for cohere SDK v5 (keeps v4 backwards compatibility) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Leonid Ganeline	9c8523b529	community[patch]: flattening imports 3 (#18939 ) @eyurtsev	7 months ago
wt3639	5b5b37a999	community[patch]: Add embedding instruction to HuggingFaceBgeEmbeddings (#18017 ) - Description: Add embedding instruction to HuggingFaceBgeEmbeddings, so that it can be compatible with nomic and other models that need embedding instruction. --------- Co-authored-by: Tao Wu <tao.wu@rwth-aachen.de> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Phat Vo	3ecb903d49	community[patch] : Tidy up and update Clarifai SDK functions (#18314 ) Description : * Tidy up, add missing docstring and fix unused params * Enable using session token	7 months ago
Max Jakob	cca0167917	elasticsearch[patch], community[patch]: update references, deprecate community classes (#18506 ) Follow up on https://github.com/langchain-ai/langchain/pull/17467. - Update all references to the Elasticsearch classes to use the partners package. - Deprecate community classes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Kate Silverstein	b7c71e2e07	community[minor]: llamafile embeddings support (#17976 ) * Description: adds `LlamafileEmbeddings` class implementation for generating embeddings using [llamafile](https://github.com/Mozilla-Ocho/llamafile)-based models. Includes related unit tests and notebook showing example usage. * Issue: N/A * Dependencies: N/A	7 months ago
Yujie Qian	cbb65741a7	community[patch]: Voyage AI updates default model and batch size (#17655 ) - Description: update the default model and batch size in VoyageEmbeddings - Issue: N/A - Dependencies: N/A - Twitter handle: N/A --------- Co-authored-by: fodizoltan <zoltan@conway.expert>	7 months ago
Anush	9d663f31fa	community[patch]: FastEmbed to latest (#18040 ) ## Description Updates the `langchain_community.embeddings.fastembed` provider as per the recent updates to [`FastEmbed`](https://github.com/qdrant/fastembed) library.	7 months ago
Erick Friis	eefb49680f	multiple[patch]: fix deprecation versions (#18349 )	7 months ago
Dan Stambler	69344a0661	community: Add Laser Embedding Integration (#18111 ) - Description: Added Integration with Meta AI's LASER Language-Agnostic SEntence Representations embedding library, which supports multilingual embedding for any of the languages listed here: https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200, including several low resource languages - Dependencies: laser_encoders	7 months ago
Michael Feil	242981b8f0	community[minor]: infinity embedding local option (#17671 ) drop-in-replacement for sentence-transformers inference. https://github.com/langchain-ai/langchain/discussions/17670 tldr from the discussion above -> around a 4x-22x speedup over using SentenceTransformers / huggingface embeddings. For more info: https://github.com/michaelfeil/infinity (pure-python dependency) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Guangdong Liu	3ba1cb8650	community[minor]: Add SparkLLM Text Embedding Model and SparkLLM introduction (#17573 )	7 months ago
Bagatur	a058c8812d	community[patch]: add VoyageEmbeddings truncation (#17638 )	8 months ago
Moshe Berchansky	20a56fe0a2	community[minor]: Add QuantizedEmbedders (#17391 ) Description: * adding Quantized embedders using optimum-intel and intel-extension-for-pytorch. * added mdx documentation and example notebooks * added embedding import testing. Dependencies: optimum = {extras = ["neural-compressor"], version = "^1.14.0", optional = true} intel_extension_for_pytorch = {version = "^2.2.0", optional = true} Dependencies have been added to pyproject.toml for the community lib. Twitter handle: @peter_izsak --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
nvpranak	91bcc9c5c9	community[minor]: Nemo embeddings(#16206 ) This PR is adding support for NVIDIA NeMo embeddings issue #16095. --------- Co-authored-by: Praveen Nakshatrala <pnakshatrala@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Abhishek Jain	37e1275f9e	community[patch]: Fixed the 'aembed' method of 'CohereEmbeddings'. (#16497 ) Description: - The existing code was trying to find a `.embeddings` property on the `Coroutine` returned by calling `cohere.async_client.embed`. - Instead, the `.embeddings` property is present on the value returned by the `Coroutine`. - Also, it seems that the original cohere client expects a value of `max_retries` to not be `None`. Hence, setting the default value of `max_retries` to `3`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Michael Feil	e1cfd0f3e7	community[patch]: infinity embeddings update incorrect default url (#16759 ) The default url has always been incorrect (7797 instead 7997). Here is a update to the correct url.	8 months ago
Erick Friis	3a2eb6e12b	infra: add print rule to ruff (#16221 ) Added noqa for existing prints. Can slowly remove / will prevent more being intro'd	8 months ago
Leonid Ganeline	932c52c333	community[patch]: docstrings (#16810 ) - added missed docstrings - formated docstrings to the consistent form	8 months ago
Bassem Yacoube	4e3ed7f043	community[patch]: octoai embeddings bug fix (#17216 ) fixes a bug in octoa_embeddings provider	8 months ago
Tyler Titsworth	304f3f5fc1	community[patch]: Add Progress bar to HuggingFaceEmbeddings (#16758 ) - Description: Adds a function parameter to HuggingFaceEmbeddings called `show_progress` that enables a `tqdm` progress bar if enabled. Does not function if `multi_process = True`. - Issue: n/a - Dependencies: n/a	8 months ago
Harrison Chase	4eda647fdd	infra: add -p to mkdir in lint steps (#17013 ) Previously, if this did not find a mypy cache then it wouldnt run this makes it always run adding mypy ignore comments with existing uncaught issues to unblock other prs --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	8 months ago
Marina Pliusnina	a1ce7ab672	adding parameter for changing the language in SpacyEmbeddings (#15743 ) Description: Added the parameter for a possibility to change a language model in SpacyEmbeddings. The default value is still the same: "en_core_web_sm", so it shouldn't affect a code which previously did not specify this parameter, but it is not hard-coded anymore and easy to change in case you want to use it with other languages or models. Issue: At Barcelona Supercomputing Center in Aina project (https://github.com/projecte-aina), a project for Catalan Language Models and Resources, we would like to use Langchain for one of our current projects and we would like to comment that Langchain, while being a very powerful and useful open-source tool, is pretty much focused on English language. We would like to contribute to make it a bit more adaptable for using with other languages. Dependencies: This change requires the Spacy library and a language model, specified in the model parameter. Tag maintainer: @dev2049 Twitter handle: @projecte_aina --------- Co-authored-by: Marina Pliusnina <marina.pliusnina@bsc.es> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Bassem Yacoube	85e93e05ed	community[minor]: Update OctoAI LLM, Embedding and documentation (#16710 ) This PR includes updates for OctoAI integrations: - The LLM class was updated to fix a bug that occurs with multiple sequential calls - The Embedding class was updated to support the new GTE-Large endpoint released on OctoAI lately - The documentation jupyter notebook was updated to reflect using the new LLM sdk Thank you!	8 months ago
yin1991	a936472512	docs: Update documentation to use 'model_id' rather than 'model_name' to match actual API (#16615 ) - Description: Replace 'model_name' with 'model_id' for accuracy - Issue: [link-to-issue](https://github.com/langchain-ai/langchain/issues/16577) - Dependencies: - Twitter handle:	8 months ago
baichuan-assistant	70ff54eace	community[minor]: Add Baichuan Text Embedding Model and Baichuan Inc introduction (#16568 ) - Description: Adding Baichuan Text Embedding Model and Baichuan Inc introduction. Baichuan Text Embedding ranks #1 in C-MTEB leaderboard: https://huggingface.co/spaces/mteb/leaderboard Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
Dmitry Tyumentsev	e86e66bad7	community[patch]: YandexGPT models - add sleep_interval (#16566 ) Added sleep between requests to prevent errors associated with simultaneous requests.	8 months ago
Rave Harpaz	c4e9c9ca29	community[minor]: Add OCI Generative AI integration (#16548 ) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: Adding Oracle Cloud Infrastructure Generative AI integration. Oracle Cloud Infrastructure (OCI) Generative AI is a fully managed service that provides a set of state-of-the-art, customizable large language models (LLMs) that cover a wide range of use cases, and which is available through a single API. Using the OCI Generative AI service you can access ready-to-use pretrained models, or create and host your own fine-tuned custom models based on your own data on dedicated AI clusters. https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm - Issue: None, - Dependencies: OCI Python SDK, - 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` from the root of the package you've modified to check this locally. Passed See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. we provide unit tests. However, we cannot provide integration tests due to Oracle policies that prohibit public sharing of api keys. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Unai Garay Maestre	fdbfa6b2c8	Adds progress bar to VertexAIEmbeddings (#14542 ) - Description: Adds progress bar to VertexAIEmbeddings - Issue: related issue https://github.com/langchain-ai/langchain/issues/13637 Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> --------- Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>	8 months ago
chyroc	61da2ff24c	community[patch]: use SecretStr for yandex model secrets (#15463 )	8 months ago
Davide Menini	9ce177580a	community: normalize bedrock embeddings (#15103 ) In this PR I added a post-processing function to normalize the embeddings. This happens only if the new `normalize` flag is `True`. --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com>	8 months ago

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