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Switch embedding model from BGE to nomic-embed-text-v1.5
- Replace BGE-base-en-v1.5 with nomic-embed-text-v1.5 - 8192 token context window (vs 512 for BGE) - Matryoshka representation learning support - Fully open source with training data released - Same 768 dimensions, no schema changes required Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@ -6,7 +6,7 @@ A bleeding-edge Rust MCP (Model Context Protocol) server for Vestige - providing
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- **FSRS-6 Algorithm**: State-of-the-art spaced repetition (21 parameters, personalized decay)
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- **Dual-Strength Memory Model**: Based on Bjork & Bjork 1992 cognitive science research
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- **Local Semantic Embeddings**: BGE-base-en-v1.5 (768d) via fastembed v5 (no external API)
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- **Local Semantic Embeddings**: nomic-embed-text-v1.5 (768d) via fastembed v5 (no external API)
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- **HNSW Vector Search**: USearch-based, 20x faster than FAISS
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- **Hybrid Search**: BM25 + semantic with RRF fusion
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- **Codebase Memory**: Remember patterns, decisions, and context
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