feat(v2.1): sqlite-vec Vektorindex — Implementierungsplan#10
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… column Adds: - memory_embeddings vec0 virtual table (384-dim, all-MiniLM-L6-v2) - embedding_version column on memories for model tracking - idx_memories_embedding_version index for backfill queries
…enova/transformers - Singleton EmbedderService with lazy model init - embed(text): Float32Array of 384 dims (mean-pooled, L2-normalised) - embedBatch(texts): sequential batch with progress callback - getModelName() / isReady() helpers for health checks - Graceful error wrapping so callers get a typed EmbedderError
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@coderabbitai ignore
Closes #2
Was dieser PR enthält
Implementierungsplan für Issue #2 —
sqlite-vecVektorindex als erster Schritt von V2.1 Retrieval.Neue Datei:
docs/implementation/v2.1-sqlite-vec.mdInhalt des Plans
Nächste Schritte nach Merge
feat/v2.1-sqlite-vecCheckliste
sqlite-vec,@xenova/transformers)