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embed_documents() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

Dependency Diagram

graph TD
  d6f5660d_0d1a_2870_7cdc_8168f2f2b314["embed_documents()"]
  d2c50637_94ac_9030_8f99_d10858fb4c29["SparseEmbeddings"]
  d6f5660d_0d1a_2870_7cdc_8168f2f2b314 -->|defined in| d2c50637_94ac_9030_8f99_d10858fb4c29
  style d6f5660d_0d1a_2870_7cdc_8168f2f2b314 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py lines 20–21

    def embed_documents(self, texts: list[str]) -> list[SparseVector]:
        """Embed search docs."""

Domain

Subdomains

Defined In

Source

Frequently Asked Questions

What does embed_documents() do?
embed_documents() is a function in the langchain codebase, defined in libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py.
Where is embed_documents() defined?
embed_documents() is defined in libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py at line 20.

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