init() — langchain Function Reference

Architecture documentation for the __init__() function in in_memory.py from the langchain codebase.

Function python DataProcessing VectorStores

Entity Profile

DataProcessing→ VectorStores→ __init__() — langchain Function Reference

Dependency Diagram

graph TD
  6927944c_3d1a_9e9a_e709_bac66cacb9e9["__init__()"]
  6e491709_d60f_689d_8a1a_c760b54fd120["InMemoryVectorStore"]
  6927944c_3d1a_9e9a_e709_bac66cacb9e9 -->|defined in| 6e491709_d60f_689d_8a1a_c760b54fd120
  style 6927944c_3d1a_9e9a_e709_bac66cacb9e9 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/vectorstores/in_memory.py lines 161–170

    def __init__(self, embedding: Embeddings) -> None:
        """Initialize with the given embedding function.

        Args:
            embedding: embedding function to use.
        """
        # TODO: would be nice to change to
        # dict[str, Document] at some point (will be a breaking change)
        self.store: dict[str, dict[str, Any]] = {}
        self.embedding = embedding