from_loaders() — langchain Function Reference

Architecture documentation for the from_loaders() function in vectorstore.py from the langchain codebase.

Function python LangChainCore MessageInterface calls 1

Entity Profile

LangChainCore→ MessageInterface→ from_loaders() — langchain Function Reference

Dependency Diagram

graph TD
  591eea90_d694_aec1_e19f_c7276c2ffd51["from_loaders()"]
  bdf18ee2_fdaf_7d29_e84a_fd56c19ff238["VectorstoreIndexCreator"]
  591eea90_d694_aec1_e19f_c7276c2ffd51 -->|defined in| bdf18ee2_fdaf_7d29_e84a_fd56c19ff238
  8d36c2d1_82c3_104b_ff62_3f6b01aeda59["from_documents()"]
  591eea90_d694_aec1_e19f_c7276c2ffd51 -->|calls| 8d36c2d1_82c3_104b_ff62_3f6b01aeda59
  style 591eea90_d694_aec1_e19f_c7276c2ffd51 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/indexes/vectorstore.py lines 208–220

    def from_loaders(self, loaders: list[BaseLoader]) -> VectorStoreIndexWrapper:
        """Create a `VectorStore` index from a list of loaders.

        Args:
            loaders: A list of `BaseLoader` instances to load documents.

        Returns:
            A `VectorStoreIndexWrapper` containing the constructed vectorstore.
        """
        docs = []
        for loader in loaders:
            docs.extend(loader.load())
        return self.from_documents(docs)