save_context() — langchain Function Reference

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

Function python LangChainCore Runnables calls 1

Entity Profile

LangChainCore→ Runnables→ save_context() — langchain Function Reference

Dependency Diagram

graph TD
  9622926d_99f7_f944_5390_39317f0838df["save_context()"]
  a0031c35_ac02_c399_69d4_5bd8f0075822["VectorStoreRetrieverMemory"]
  9622926d_99f7_f944_5390_39317f0838df -->|defined in| a0031c35_ac02_c399_69d4_5bd8f0075822
  63ddc667_87b8_f7b5_c5eb_c036d48e5537["_form_documents()"]
  9622926d_99f7_f944_5390_39317f0838df -->|calls| 63ddc667_87b8_f7b5_c5eb_c036d48e5537
  style 9622926d_99f7_f944_5390_39317f0838df fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/memory/vectorstore.py lines 104–107

    def save_context(self, inputs: dict[str, Any], outputs: dict[str, str]) -> None:
        """Save context from this conversation to buffer."""
        documents = self._form_documents(inputs, outputs)
        self.retriever.add_documents(documents)