Home / Function/ _results_to_docs_and_vectors() — langchain Function Reference

_results_to_docs_and_vectors() — langchain Function Reference

Architecture documentation for the _results_to_docs_and_vectors() function in vectorstores.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  d93ba92f_aa7e_de04_8b62_1f76b92b9386["_results_to_docs_and_vectors()"]
  d4a05de9_1f0f_3b21_8171_181bb47227ef["vectorstores.py"]
  d93ba92f_aa7e_de04_8b62_1f76b92b9386 -->|defined in| d4a05de9_1f0f_3b21_8171_181bb47227ef
  38b3db25_6321_94d0_c7fa_c962e0b378b1["similarity_search_with_vectors()"]
  38b3db25_6321_94d0_c7fa_c962e0b378b1 -->|calls| d93ba92f_aa7e_de04_8b62_1f76b92b9386
  style d93ba92f_aa7e_de04_8b62_1f76b92b9386 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/chroma/langchain_chroma/vectorstores.py lines 58–73

def _results_to_docs_and_vectors(results: Any) -> list[tuple[Document, np.ndarray]]:
    """Convert ChromaDB results to documents and vectors, filtering out None content."""
    return [
        (
            Document(page_content=result[0], metadata=result[1] or {}, id=result[3]),
            result[2],
        )
        for result in zip(
            results["documents"][0],
            results["metadatas"][0],
            results["embeddings"][0],
            results["ids"][0],
            strict=False,
        )
        if result[0] is not None
    ]

Subdomains

Frequently Asked Questions

What does _results_to_docs_and_vectors() do?
_results_to_docs_and_vectors() is a function in the langchain codebase, defined in libs/partners/chroma/langchain_chroma/vectorstores.py.
Where is _results_to_docs_and_vectors() defined?
_results_to_docs_and_vectors() is defined in libs/partners/chroma/langchain_chroma/vectorstores.py at line 58.
What calls _results_to_docs_and_vectors()?
_results_to_docs_and_vectors() is called by 1 function(s): similarity_search_with_vectors.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free