from_documents

Create a store and add documents in one step.

:param documents: The list of documents to add to the store. :type documents: list[Document] :param embedding: The embedding model to use for embedding vector generation. :type embedding: Embeddings

Kwargs

• connection: (required) psycopg Connection or ConnectionPool
• schema_name, table_name, id_column, content_column, embedding_column: customize table/column names
• embedding_type: VectorType of the embedding column
• embedding_dimension: dimension of the vector column
• embedding_index: Algorithm describing the vector index
• metadata_columns: str | list[str | (str, str)] | None to configure metadata storage
• on_conflict_update (passed to add): bool to upsert existing rows

:return: The created vector store instance. :rtype: Self