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docs: Add documentation on how to contribute a Vector DB provider and

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updated Test documentation and added a shortcut

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo 2025-08-11 09:41:16 -04:00
parent 1677d6bffd
commit ae3cbde8a4
25 changed files with 563 additions and 13 deletions
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8
llama_stack/providers/inline/vector_io/faiss/faiss.py
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@ -174,7 +174,9 @@ class FaissIndex(EmbeddingIndex):
k: int,
score_threshold: float,
) -> QueryChunksResponse:
raise NotImplementedError("Keyword search is not supported in FAISS")
raise NotImplementedError(
"Keyword search is not supported - underlying DB FAISS does not support this search mode"
)
async def query_hybrid(
self,
@ -185,7 +187,9 @@ class FaissIndex(EmbeddingIndex):
reranker_type: str,
reranker_params: dict[str, Any] | None = None,
) -> QueryChunksResponse:
raise NotImplementedError("Hybrid search is not supported in FAISS")
raise NotImplementedError(
"Hybrid search is not supported - underlying DB FAISS does not support this search mode"
)
class FaissVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolPrivate):