langchain

Commit Graph

Author	SHA1	Message	Date
Yessen Kanapin	c66755b661	Add DeepInfra embeddings integration with tests and examples, better exception handling for Deep Infra LLM (#5854 ) #### Who can review? Tag maintainers/contributors who might be interested: @hwchase17 - project lead - @agola11 --------- Co-authored-by: Yessen Kanapin <yessen@deepinfra.com>	1 year ago
Leonid Ganeline	92a5f00ffb	docs: `ecosystem/integrations` update 5 (#5752 ) - added missed integration to `docs/ecosystem/integrations/` - updated notebooks to consistent format: changed titles, file names; added descriptions #### Who can review? @hwchase17 @dev2049	1 year ago
Piyush Jain	562fdfc8f9	Bedrock llm and embeddings (#5464 ) # Bedrock LLM and Embeddings This PR adds a new LLM and an Embeddings class for the [Bedrock](https://aws.amazon.com/bedrock) service. The PR also includes example notebooks for using the LLM class in a conversation chain and embeddings usage in creating an embedding for a query and document. Note: AWS is doing a private release of the Bedrock service on 05/31/2023; users need to request access and added to an allowlist in order to start using the Bedrock models and embeddings. Please use the [Bedrock Home Page](https://aws.amazon.com/bedrock) to request access and to learn more about the models available in Bedrock. <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
Jeff Vestal	46e181aa8b	Allow ElasticsearchEmbeddings to create a connection with ES Client object (#5321 ) This PR adds a new method `from_es_connection` to the `ElasticsearchEmbeddings` class allowing users to use Elasticsearch clusters outside of Elastic Cloud. Users can create an Elasticsearch Client object and pass that to the new function. The returned object is identical to the one returned by calling `from_credentials` ``` # Create Elasticsearch connection es_connection = Elasticsearch( hosts=['https://es_cluster_url:port'], basic_auth=('user', 'password') ) # Instantiate ElasticsearchEmbeddings using es_connection embeddings = ElasticsearchEmbeddings.from_es_connection( model_id, es_connection, ) ``` I also added examples to the elasticsearch jupyter notebook Fixes # https://github.com/hwchase17/langchain/issues/5239 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Yves Maurer	88ed8e1cd6	Added the option of specifying a proxy for the OpenAI API (#5246 ) # Added the option of specifying a proxy for the OpenAI API Fixes #5243 Co-authored-by: Yves Maurer <>	1 year ago
Archon	5cdd9ab7e1	Add MiniMax embeddings (#5174 ) - Add support for MiniMax embeddings Doc: [MiniMax embeddings](https://api.minimax.chat/document/guides/embeddings?id=6464722084cdc277dfaa966a) --------- Co-authored-by: Archon <archongum@outlook.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	a775aa6389	Harrison/vertex (#5049 ) Co-authored-by: Leonid Kuligin <kuligin@google.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru> Co-authored-by: sasha-gitg <44654632+sasha-gitg@users.noreply.github.com> Co-authored-by: Justin Flick <Justinjayflick@gmail.com> Co-authored-by: Justin Flick <jflick@homesite.com>	1 year ago
Harrison Chase	11c26ebb55	Harrison/modelscope (#5156 ) Co-authored-by: thomas-yanxin <yx20001210@163.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Jeff Vestal	cf19a2a59f	example usage (#5182 ) Adding example usage for elasticsearch knn embeddings [per](https://github.com/hwchase17/langchain/pull/3401#issuecomment-1548518389) https://github.com/hwchase17/langchain/blob/master/langchain/embeddings/elasticsearch.py	1 year ago
Daniel King	de6e6c764e	Add MosaicML inference endpoints (#4607 ) # Add MosaicML inference endpoints This PR adds support in langchain for MosaicML inference endpoints. We both serve a select few open source models, and allow customers to deploy their own models using our inference service. Docs are here (https://docs.mosaicml.com/en/latest/inference.html), and sign up form is here (https://forms.mosaicml.com/demo?utm_source=langchain). I'm not intimately familiar with the details of langchain, or the contribution process, so please let me know if there is anything that needs fixing or this is the wrong way to submit a new integration, thanks! I'm also not sure what the procedure is for integration tests. I have tested locally with my api key. ## Who can review? @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Jeff Vestal	0b542a9706	Add ElasticsearchEmbeddings class for generating embeddings using Elasticsearch models (#3401 ) This PR introduces a new module, `elasticsearch_embeddings.py`, which provides a wrapper around Elasticsearch embedding models. The new ElasticsearchEmbeddings class allows users to generate embeddings for documents and query texts using a [model deployed in an Elasticsearch cluster](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-model-ref.html#ml-nlp-model-ref-text-embedding). ### Main features: 1. The ElasticsearchEmbeddings class initializes with an Elasticsearch connection object and a model_id, providing an interface to interact with the Elasticsearch ML client through [infer_trained_model](https://elasticsearch-py.readthedocs.io/en/v8.7.0/api.html?highlight=trained%20model%20infer#elasticsearch.client.MlClient.infer_trained_model) . 2. The `embed_documents()` method generates embeddings for a list of documents, and the `embed_query()` method generates an embedding for a single query text. 3. The class supports custom input text field names in case the deployed model expects a different field name than the default `text_field`. 4. The implementation is compatible with any model deployed in Elasticsearch that generates embeddings as output. ### Benefits: 1. Simplifies the process of generating embeddings using Elasticsearch models. 2. Provides a clean and intuitive interface to interact with the Elasticsearch ML client. 3. Allows users to easily integrate Elasticsearch-generated embeddings. Related issue https://github.com/hwchase17/langchain/issues/3400 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Ismael G Serrano	41e2394c9c	Fix AzureOpenAI embeddings documentation example. model -> deployment (#4389 ) # Documentation for Azure OpenAI embeddings model - OPENAI_API_VERSION environment variable is needed for the endpoint - The constructor does not work with model, it works with deployment. I fixed it in the notebook. (This is my first contribution) ## Who can review? @hwchase17 @agola Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	a48810fb21	dont have openai_api_version by default (#4687 ) an alternative to https://github.com/hwchase17/langchain/pull/4234/files	1 year ago
MichaelMDowling	36ee60c96c	Update \docs\modules\models\text_embedding\examples\openai.ipynb (#3976 ) Single edit to: models/text_embedding/examples/openai.ipynb - Line 88: changed from: "embeddings = OpenAIEmbeddings(model_name=\"ada\")" to "embeddings = OpenAIEmbeddings()" as model_name is no longer part of the OpenAIEmbeddings class.	1 year ago
Zander Chase	d6d697a41b	Sentence Transformers Aliasing (#3541 ) The sentence transformers was a dup of the HF one. This is a breaking change (model_name vs. model) for anyone using `SentenceTransformerEmbeddings(model="some/nondefault/model")`, but since it was landed only this week it seems better to do this now rather than doing a wrapper.	1 year ago
Zander Chase	20f530e9c5	Add Sentence Transformers Embeddings (#3409 ) Add embeddings based on the sentence transformers library. Add a notebook and integration tests. Co-authored-by: khimaros <me@khimaros.com>	1 year ago
Zander Chase	61d40ba042	Fix Sagemaker Batch Endpoints (#3249 ) Add different typing for @evandiewald 's heplful PR --------- Co-authored-by: Evan Diewald <evandiewald@gmail.com>	1 year ago
Girish Sharma	9aed565f13	Fix missing import in AzureOpenAI embeddings example (#2625 ) ## Why this PR? Fixes #2624 There's a missing import statement in AzureOpenAI embeddings example. ## What's new in this PR? - Import `OpenAIEmbeddings` before creating it's object. ## How it's tested? - By running notebook and creating embedding object. Signed-off-by: letmerecall <girishsharma001@gmail.com>	2 years ago
Matt Royer	ad87584c35	Fix 'embeddings is not defined' (#2468 ) Nothing major. The docs just give an error when you try to use `embeddings` instead of `llama`.	2 years ago
Harrison Chase	f5da9a5161	cr	2 years ago
Harrison Chase	d85f57ef9c	Harrison/llama (#2314 ) Co-authored-by: RJ Adriaansen <adriaansen@eshcc.eur.nl>	2 years ago
Harrison Chase	1c03205cc2	embedding docs (#2200 )	2 years ago
Harrison Chase	eff5eed719	Harrison/jina (#2043 ) Co-authored-by: numb3r3 <wangfelix87@gmail.com> Co-authored-by: felix-wang <35718120+numb3r3@users.noreply.github.com>	2 years ago
Harrison Chase	705431aecc	big docs refactor (#1978 ) Co-authored-by: Ankush Gola <ankush.gola@gmail.com>	2 years ago

24 Commits (62ec10a7f5110b3b264c3851fc98d784848f7259)