# genpark-vector-database-hybrid-reranking-engine-skill

> genpark-vector-database-hybrid-reranking-engine-skill — alphaparkinc-genpark-vector-database-hybrid-reranking-engine-skill. Use this tool when you need to enhance search results with a hybrid approach, combining the strengths of vector databases and BM25 algorithms to improve relevance and accuracy. It solves problems of inefficient search queries and inaccurate results by reranking outputs based on dense vector representations. Ideal for use cases requiring precise information retrieval, such as question answering or document search, with inputs of search queries and outputs of reranked result lists.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-vector-database-hybrid-reranking-engine-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-vector-database-hybrid-reranking-engine-skill

## Description

Vector database BM25 + dense hybrid search reranking engine

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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-vector-database-hybrid-reranking-engine-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-vector-database-hybrid-reranking-engine-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-vector-database-hybrid-reranking-engine-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-vector-database-hybrid-reranking-engine-skill/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt