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embeddings() — langchain Function Reference

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

Function python DataProcessing DocumentLoaders

Entity Profile

Dependency Diagram

graph TD
  bc5dbd25_30f3_a1ed_634e_6c4ab53821ea["embeddings()"]
  6e491709_d60f_689d_8a1a_c760b54fd120["InMemoryVectorStore"]
  bc5dbd25_30f3_a1ed_634e_6c4ab53821ea -->|defined in| 6e491709_d60f_689d_8a1a_c760b54fd120
  style bc5dbd25_30f3_a1ed_634e_6c4ab53821ea fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/vectorstores/in_memory.py lines 174–175

    def embeddings(self) -> Embeddings:
        return self.embedding

Domain

Subdomains

Defined In

Source

Frequently Asked Questions

What does embeddings() do?
embeddings() is a function in the langchain codebase, defined in libs/core/langchain_core/vectorstores/in_memory.py.
Where is embeddings() defined?
embeddings() is defined in libs/core/langchain_core/vectorstores/in_memory.py at line 174.

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