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Adds LangChain Document objects to the vector store. 
add_documents(
    documents: List[Document],
    ids: Optional[List[str]] = None,
    **kwargs
) -> List[str]

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Parameters

ParameterTypeDescription
documentsList[Document]List of LangChain Document objects to add
idsOptional[List[str]](Optional) List of IDs for the documents (auto-generated if not provided)
**kwargsAnyAdditional keyword arguments passed to add_texts

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Returns

List[str]: List of IDs for the added documents

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Example Usage

from langchain_core.documents import Document

# Create documents with metadata
documents = [
    Document(
        page_content="Introduction to machine learning",
        metadata={"chapter": 1, "topic": "ML basics"}
    ),
    Document(
        page_content="Deep learning fundamentals",
        metadata={"chapter": 2, "topic": "Neural networks"}
    )
]

# Add documents to the store
ids = store.add_documents(documents)
print(f"Added {len(ids)} documents")