# genpark-cosine-bm25-reciprocal-rank-fusion-skill

> genpark-cosine-bm25-reciprocal-rank-fusion-skill — alphaparkinc-genpark-cosine-bm25-reciprocal-rank-fusion-skill. Use this tool when you need to enhance information retrieval by combining the strengths of lexical and semantic search methods. It solves problems of incomplete or inaccurate search results by fusing BM25 and Cosine similarities through Reciprocal Rank Fusion, taking in text queries and returning ranked document lists. Ideal for applications requiring robust and accurate search functionality, such as question answering or document retrieval systems.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-cosine-bm25-reciprocal-rank-fusion-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-cosine-bm25-reciprocal-rank-fusion-skill

## Description

Zero-dependency hybrid retrieval engine fusing sparse lexical BM25 Okapi and dense Cosine vector similarities via Reciprocal Rank Fusion.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-cosine-bm25-reciprocal-rank-fusion-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-cosine-bm25-reciprocal-rank-fusion-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-cosine-bm25-reciprocal-rank-fusion-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-cosine-bm25-reciprocal-rank-fusion-skill/pull`

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