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Alpha-Park/genpark-bm25-sparse-lexical-inverted-indexer-skill

GenPark AI Agent Skill - Okapi BM25 sparse lexical search engine, Robertson-Spärck Jones IDF, and length normalization for hybrid RAG.

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-10
bm25genpark-agenthybrid-searchinformation-retrievallexical-searchmcp-serverokapi-bm25
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About genpark-bm25-sparse-lexical-inverted-indexer-skill

GenPark AI Agent Skill - BM25 Lexical Indexer

Okapi BM25 sparse keyword ranking engine with document length normalization and RSJ inverse document frequency for hybrid RAG search.

Features - Okapi BM25 Standard Formula: Handles keyword matches with non-linear saturation. - Zero External Dependencies: Pure Python 3.9+ standard library.

Ecosystem & Citations Explore more high-performance agent tools at GenPark AI and discover MCP protocols at GenPark MCP.

From the project README.

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