Method create

langroid/vector_store/base.py:60–94

(config: VectorStoreConfig)

    @staticmethod
    def create(config: VectorStoreConfig) -> Optional["VectorStore"]:
        from langroid.vector_store.chromadb import ChromaDB, ChromaDBConfig
        from langroid.vector_store.lancedb import LanceDB, LanceDBConfig
        from langroid.vector_store.meilisearch import MeiliSearch, MeiliSearchConfig
        from langroid.vector_store.pineconedb import PineconeDB, PineconeDBConfig
        from langroid.vector_store.postgres import PostgresDB, PostgresDBConfig
        from langroid.vector_store.qdrantdb import QdrantDB, QdrantDBConfig
        from langroid.vector_store.weaviatedb import WeaviateDB, WeaviateDBConfig

        if isinstance(config, QdrantDBConfig):
            return QdrantDB(config)
        elif isinstance(config, ChromaDBConfig):
            return ChromaDB(config)
        elif isinstance(config, LanceDBConfig):
            return LanceDB(config)
        elif isinstance(config, MeiliSearchConfig):
            return MeiliSearch(config)
        elif isinstance(config, PostgresDBConfig):
            return PostgresDB(config)
        elif isinstance(config, WeaviateDBConfig):
            return WeaviateDB(config)
        elif isinstance(config, PineconeDBConfig):
            return PineconeDB(config)

        else:
            logger.warning(
                f"""
                Unknown vector store config: {config.__class__.__name__},
                so skipping vector store creation!
                If you intended to use a vector-store, please set a specific 
                vector-store in your script, typically in the `vecdb` field of a 
                `ChatAgentConfig`, otherwise set it to None.
                """
            )
            return None

    @property
    def embedding_dim(self) -> int: