Library RAG

Semantic search over ~/.hermes/library/ using Nemotron-3-Embed-1B embeddings (via NVIDIA NIM) stored in sqlite-vec. Enables meaning-based retrieval across any text corpus — books, documents, reference works — in any language.

Architecture

NVIDIA NIM API (nemotron-3-embed-1b, 2048-dim)
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~/.hermes/library/rag_index.db (sqlite-vec)
  ├── chunks table      — text + metadata (source, book, chapter, section)
  ├── vec_chunks table  — L2-normalized vector embeddings
  └── indexed_files     — SHA-256 hash tracking for incremental updates