mirror of
https://github.com/Mintplex-Labs/langchain-python.git
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Naveen Tatikonda
0118706fd6
### Description This PR adds a wrapper which adds support for the OpenSearch vector database. Using opensearch-py client we are ingesting the embeddings of given text into opensearch cluster using Bulk API. We can perform the `similarity_search` on the index using the 3 popular searching methods of OpenSearch k-NN plugin: - `Approximate k-NN Search` use approximate nearest neighbor (ANN) algorithms from the [nmslib](https://github.com/nmslib/nmslib), [faiss](https://github.com/facebookresearch/faiss), and [Lucene](https://lucene.apache.org/) libraries to power k-NN search. - `Script Scoring` extends OpenSearch’s script scoring functionality to execute a brute force, exact k-NN search. - `Painless Scripting` adds the distance functions as painless extensions that can be used in more complex combinations. Also, supports brute force, exact k-NN search like Script Scoring. ### Issues Resolved https://github.com/hwchase17/langchain/issues/1054 --------- Signed-off-by: Naveen Tatikonda <navtat@amazon.com>
23 lines
730 B
Python
23 lines
730 B
Python
"""Wrappers on top of vector stores."""
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from langchain.vectorstores.base import VectorStore
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from langchain.vectorstores.chroma import Chroma
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from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch
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from langchain.vectorstores.faiss import FAISS
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from langchain.vectorstores.milvus import Milvus
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from langchain.vectorstores.opensearch_vector_search import OpenSearchVectorSearch
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from langchain.vectorstores.pinecone import Pinecone
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from langchain.vectorstores.qdrant import Qdrant
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from langchain.vectorstores.weaviate import Weaviate
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__all__ = [
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"ElasticVectorSearch",
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"FAISS",
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"VectorStore",
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"Pinecone",
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"Weaviate",
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"Qdrant",
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"Milvus",
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"Chroma",
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"OpenSearchVectorSearch",
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]
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