# hybrid-rag-project

> hybrid-rag-project — ce23b006-byte-hybrid-rag-project. Use this tool when you need to generate text based on relevant information retrieved from a large corpus of documents, leveraging both semantic and keyword search capabilities. It solves problems related to information retrieval, text generation, and document analysis, particularly in applications where multiple document formats are involved. The tool accepts document collections and search queries as inputs and produces generated text outputs, making it suitable for use cases like research, content creation, and data analysis.

Canonical page: https://skillsregistry.net/skills/ce23b006-byte-hybrid-rag-project  
JSON: https://api.skillsregistry.net/v1/skills/ce23b006-byte-hybrid-rag-project

## Description

Enables hybrid retrieval-augmented generation with semantic and keyword search over documents, supporting multiple formats and providing MCP integration for Claude Desktop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v39bog1k6u)
- **Repository:** <https://github.com/ce23b006-byte/hybrid-rag-project>

## 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": "ce23b006-byte-hybrid-rag-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ce23b006-byte-hybrid-rag-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ce23b006-byte-hybrid-rag-project/pull`

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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