# Production-RAG

> Production-RAG — weiguang-2099-production-rag. Use this tool when you need to build a robust question-answering system that leverages hybrid retrieval methods, reranking, and grounded cited answers. It solves problems related to information retrieval, question answering, and knowledge graph-based search, providing accurate and reliable results. The Production-RAG system accepts natural language queries as input and outputs relevant answers, making it suitable for applications requiring advanced search and question-answering capabilities.

Canonical page: https://skillsregistry.net/skills/weiguang-2099-production-rag  
JSON: https://api.skillsregistry.net/v1/skills/weiguang-2099-production-rag

## Description

Production-grade GraphRAG system: hybrid retrieval (vector + BM25 + knowledge graph), reranking, grounded cited answers with refusal, SSE streaming, and an MCP server, built with FastAPI, LangChain, LangGraph, Qdrant, and React.

## 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:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/WeiGuang-2099/Production-RAG)

## 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": "weiguang-2099-production-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/weiguang-2099-production-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/weiguang-2099-production-rag/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