__init__.py — langchain Source File

Source Code

"""**Vector store** stores embedded data and performs vector search.

One of the most common ways to store and search over unstructured data is to
embed it and store the resulting embedding vectors, and then query the store
and retrieve the data that are 'most similar' to the embedded query.
"""

from typing import TYPE_CHECKING, Any

from langchain_core.vectorstores import VectorStore

from langchain_classic._api import create_importer

if TYPE_CHECKING:
    from langchain_community.vectorstores import (
        FAISS,
        AlibabaCloudOpenSearch,
        AlibabaCloudOpenSearchSettings,
        AnalyticDB,
        Annoy,
        AstraDB,
        AtlasDB,
        AwaDB,
        AzureCosmosDBVectorSearch,
        AzureSearch,
        Bagel,
        Cassandra,
        Chroma,
        Clarifai,
        Clickhouse,
        ClickhouseSettings,
        DashVector,
        DatabricksVectorSearch,
        DeepLake,
        Dingo,
        DocArrayHnswSearch,
        DocArrayInMemorySearch,
        DuckDB,
        EcloudESVectorStore,
        ElasticKnnSearch,
        ElasticsearchStore,
        ElasticVectorSearch,
        Epsilla,
        Hologres,
        LanceDB,
        LLMRails,
        Marqo,
        MatchingEngine,
        Meilisearch,
        Milvus,
        MomentoVectorIndex,
        MongoDBAtlasVectorSearch,
        MyScale,
        MyScaleSettings,
        Neo4jVector,
        NeuralDBClientVectorStore,
        NeuralDBVectorStore,
        OpenSearchVectorSearch,
        PGEmbedding,
        PGVector,
// ... (186 more lines)