MatVerse Core Embedder
A lightweight sentence embedding model optimized for memory retrieval, semantic consistency, and structured knowledge systems.
Purpose
Built for:
- semantic search
- memory systems
- retrieval pipelines
- governance knowledge bases
- causal document ranking
Why
Most embedding models optimize generic similarity. MatVerse Core Embedder prioritizes structured relevance and stable retrieval.
Status
v0.1 Initial Public Release (Placeholder)
Roadmap
- Fine-tune on MatVerse benchmark data
- Benchmark against MTEB leaderboard
- Release model weights
- Add ONNX export
Organization
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