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load_memory_variables() — langchain Function Reference

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

Function python LangChainCore Runnables calls 2

Entity Profile

Dependency Diagram

graph TD
  05f0d05a_5be7_6884_0fef_0a71e4cab48b["load_memory_variables()"]
  a0031c35_ac02_c399_69d4_5bd8f0075822["VectorStoreRetrieverMemory"]
  05f0d05a_5be7_6884_0fef_0a71e4cab48b -->|defined in| a0031c35_ac02_c399_69d4_5bd8f0075822
  3428d7ae_fa2d_1995_fde1_2ccae53f86b7["_get_prompt_input_key()"]
  05f0d05a_5be7_6884_0fef_0a71e4cab48b -->|calls| 3428d7ae_fa2d_1995_fde1_2ccae53f86b7
  01ebf63f_c96f_60bc_c43e_d78faac08ee1["_documents_to_memory_variables()"]
  05f0d05a_5be7_6884_0fef_0a71e4cab48b -->|calls| 01ebf63f_c96f_60bc_c43e_d78faac08ee1
  style 05f0d05a_5be7_6884_0fef_0a71e4cab48b fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/memory/vectorstore.py lines 67–75

    def load_memory_variables(
        self,
        inputs: dict[str, Any],
    ) -> dict[str, list[Document] | str]:
        """Return history buffer."""
        input_key = self._get_prompt_input_key(inputs)
        query = inputs[input_key]
        docs = self.retriever.invoke(query)
        return self._documents_to_memory_variables(docs)

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does load_memory_variables() do?
load_memory_variables() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/memory/vectorstore.py.
Where is load_memory_variables() defined?
load_memory_variables() is defined in libs/langchain/langchain_classic/memory/vectorstore.py at line 67.
What does load_memory_variables() call?
load_memory_variables() calls 2 function(s): _documents_to_memory_variables, _get_prompt_input_key.

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