antiresonant/altRAG

Pointer-based skill retrieval for LLM agents. The alternative to vector DB RAG.

39
/ 100
Emerging

Builds a deterministic pointer table mapping document headings to exact byte offsets and line numbers, eliminating embeddings and vector databases entirely. The agent reads a lightweight skeleton (~100 tokens) during planning, then retrieves only the precise section needed—no similarity thresholds or fuzzy matching. Zero dependencies; integrates via auto-detected config files (`.cursorrules`, `CLAUDE.md`, `.clinerules`, etc.) and maintains freshness through git pre-commit hooks.

Available on PyPI.

No Dependents
Maintenance 13 / 25
Adoption 8 / 25
Maturity 18 / 25
Community 0 / 25

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Stars

4

Forks

Language

Python

License

MIT

Last pushed

Mar 26, 2026

Monthly downloads

120

Commits (30d)

0

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