_results_to_docs_and_scores() — langchain Function Reference
Architecture documentation for the _results_to_docs_and_scores() function in vectorstores.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 930a5ad0_324c_9f12_2f5f_6ee76cbc3551["_results_to_docs_and_scores()"] d4a05de9_1f0f_3b21_8171_181bb47227ef["vectorstores.py"] 930a5ad0_324c_9f12_2f5f_6ee76cbc3551 -->|defined in| d4a05de9_1f0f_3b21_8171_181bb47227ef 606e28c0_f5b8_541a_3421_640b6c15492e["_results_to_docs()"] 606e28c0_f5b8_541a_3421_640b6c15492e -->|calls| 930a5ad0_324c_9f12_2f5f_6ee76cbc3551 561ae42b_0831_86cc_0c0f_9b97d4c4ec09["similarity_search_by_vector_with_relevance_scores()"] 561ae42b_0831_86cc_0c0f_9b97d4c4ec09 -->|calls| 930a5ad0_324c_9f12_2f5f_6ee76cbc3551 931a8250_c45c_2dfc_c4d4_c2956f5c59b1["similarity_search_with_score()"] 931a8250_c45c_2dfc_c4d4_c2956f5c59b1 -->|calls| 930a5ad0_324c_9f12_2f5f_6ee76cbc3551 style 930a5ad0_324c_9f12_2f5f_6ee76cbc3551 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/chroma/langchain_chroma/vectorstores.py lines 39–55
def _results_to_docs_and_scores(results: Any) -> list[tuple[Document, float]]:
return [
# TODO: Chroma can do batch querying,
# we shouldn't hard code to the 1st result
(
Document(page_content=result[0], metadata=result[1] or {}, id=result[2]),
result[3],
)
for result in zip(
results["documents"][0],
results["metadatas"][0],
results["ids"][0],
results["distances"][0],
strict=False,
)
if result[0] is not None
]
Domain
Subdomains
Called By
Source
Frequently Asked Questions
What does _results_to_docs_and_scores() do?
_results_to_docs_and_scores() is a function in the langchain codebase, defined in libs/partners/chroma/langchain_chroma/vectorstores.py.
Where is _results_to_docs_and_scores() defined?
_results_to_docs_and_scores() is defined in libs/partners/chroma/langchain_chroma/vectorstores.py at line 39.
What calls _results_to_docs_and_scores()?
_results_to_docs_and_scores() is called by 3 function(s): _results_to_docs, similarity_search_by_vector_with_relevance_scores, similarity_search_with_score.
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