genpark-bm25-okapi-document-ranker-skill
Okapi BM25 information retrieval document scoring and search engine with document length normalization.
Details
- External ID
- 1391789540
- Source
- GITHUB
- Company
- —
- Product
- genpark-bm25-okapi-document-ranker-skill
- Website domain
- github.com
- Launched
- Sept. 28, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- agent-skills, bm25, document-search, information-retrieval, mcp-server, model-context-protocol, okapi-bm25, python, rag, relevance-ranking, search-engine
- Fetched at
- Sept. 30, 2026, 1:02 a.m.
- Updated at
- Sept. 30, 2026, 1:02 a.m.
Enrichment
- Theme
- specialized AI models and agent reasoning tools
- Vertical
- Horizontal
- Function
- Search & retrieval
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- bm25 text ranking and document retrieval engine for search
- Manually corrected
- False
Could you build this?
Yes Okapi BM25 is a standard information retrieval algorithm that can be completely implemented in a few dozen lines of code with an AI assistant.
Competitors
Other products that read as similar to this one — 236 launches clear the similarity bar, closest 8 shown.
Attention rank: #106 of 237 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 325 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.