mirror of
https://github.com/Mintplex-Labs/langchain-python.git
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volodymyr-memsql
a1549901ce
- Added `SingleStoreDB` vector store, which is a wrapper over the SingleStore DB database, that can be used as a vector storage and has an efficient similarity search. - Added integration tests for the vector store - Added jupyter notebook with the example @dev2049 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
"""Wrappers on top of vector stores."""
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from langchain.vectorstores.analyticdb import AnalyticDB
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from langchain.vectorstores.annoy import Annoy
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from langchain.vectorstores.atlas import AtlasDB
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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.clickhouse import Clickhouse, ClickhouseSettings
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from langchain.vectorstores.deeplake import DeepLake
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from langchain.vectorstores.docarray import DocArrayHnswSearch, DocArrayInMemorySearch
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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.lancedb import LanceDB
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from langchain.vectorstores.matching_engine import MatchingEngine
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from langchain.vectorstores.milvus import Milvus
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from langchain.vectorstores.mongodb_atlas import MongoDBAtlasVectorSearch
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from langchain.vectorstores.myscale import MyScale, MyScaleSettings
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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.redis import Redis
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from langchain.vectorstores.singlestoredb import SingleStoreDB
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from langchain.vectorstores.sklearn import SKLearnVectorStore
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from langchain.vectorstores.supabase import SupabaseVectorStore
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from langchain.vectorstores.tair import Tair
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from langchain.vectorstores.tigris import Tigris
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from langchain.vectorstores.typesense import Typesense
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from langchain.vectorstores.vectara import Vectara
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from langchain.vectorstores.weaviate import Weaviate
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from langchain.vectorstores.zilliz import Zilliz
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__all__ = [
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"Redis",
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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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"Zilliz",
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"SingleStoreDB",
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"Chroma",
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"OpenSearchVectorSearch",
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"AtlasDB",
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"DeepLake",
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"Annoy",
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"MongoDBAtlasVectorSearch",
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"MyScale",
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"MyScaleSettings",
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"SKLearnVectorStore",
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"SupabaseVectorStore",
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"AnalyticDB",
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"Vectara",
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"Tair",
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"LanceDB",
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"DocArrayHnswSearch",
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"DocArrayInMemorySearch",
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"Typesense",
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"Clickhouse",
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"ClickhouseSettings",
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"Tigris",
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"MatchingEngine",
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]
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