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@ -23,6 +23,7 @@ from llama_stack.providers.utils.memory.vector_store import EmbeddingIndex, Vect
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logger = logging.getLogger(__name__)
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def serialize_vector(vector: List[float]) -> bytes:
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"""Serialize a list of floats into a compact binary representation."""
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return struct.pack(f"{len(vector)}f", *vector)
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@ -147,7 +148,6 @@ class SQLiteVecIndex(EmbeddingIndex):
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return QueryChunksResponse(chunks=chunks, scores=scores)
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class SQLiteVecVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
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"""
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A VectorIO implementation using SQLite + sqlite_vec.
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