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embed_documents() — langchain Function Reference

Architecture documentation for the embed_documents() function in fake_embeddings.py from the langchain codebase.

Function python LangChainCore Runnables calls 3

Entity Profile

Dependency Diagram

graph TD
  119760c2_93a9_f08e_4423_1af7744c75bd["embed_documents()"]
  bbd47f76_d825_e868_c481_441b9a41a376["AngularTwoDimensionalEmbeddings"]
  119760c2_93a9_f08e_4423_1af7744c75bd -->|defined in| bbd47f76_d825_e868_c481_441b9a41a376
  76f25d73_04c2_6b9d_ccc7_c1b1d6d106d8["embed_query()"]
  119760c2_93a9_f08e_4423_1af7744c75bd -->|calls| 76f25d73_04c2_6b9d_ccc7_c1b1d6d106d8
  adc2e5ee_2c56_2e04_882f_3b17eca2f467["embed_documents()"]
  119760c2_93a9_f08e_4423_1af7744c75bd -->|calls| adc2e5ee_2c56_2e04_882f_3b17eca2f467
  f91f62e2_f3f4_c3b1_fa56_7ac7544ca8e1["embed_query()"]
  119760c2_93a9_f08e_4423_1af7744c75bd -->|calls| f91f62e2_f3f4_c3b1_fa56_7ac7544ca8e1
  style 119760c2_93a9_f08e_4423_1af7744c75bd fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/integration_tests/cache/fake_embeddings.py lines 93–95

    def embed_documents(self, texts: list[str]) -> list[list[float]]:
        """Make a list of texts into a list of embedding vectors."""
        return [self.embed_query(text) for text in texts]

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does embed_documents() do?
embed_documents() is a function in the langchain codebase, defined in libs/langchain/tests/integration_tests/cache/fake_embeddings.py.
Where is embed_documents() defined?
embed_documents() is defined in libs/langchain/tests/integration_tests/cache/fake_embeddings.py at line 93.
What does embed_documents() call?
embed_documents() calls 3 function(s): embed_documents, embed_query, embed_query.

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