# llamaindex_pydantic_rag

> llamaindex_pydantic_rag — yagosamu-llamaindex-pydantic-rag. Use this tool when you need to integrate multiple data sources and query them efficiently, solving problems of data siloing and complex querying across SQL, vector, and graph stores. It routes questions across these stores, providing a unified interface via FastAPI and MCP, and accepting various inputs to generate relevant outputs. Ideal for use cases requiring multi-source data retrieval and querying, such as data integration and knowledge graph applications.

Canonical page: https://skillsregistry.net/skills/yagosamu-llamaindex-pydantic-rag  
JSON: https://api.skillsregistry.net/v1/skills/yagosamu-llamaindex-pydantic-rag

## Description

Multi-source RAG (LlamaIndex + Pydantic) that routes questions across SQL, vector, and graph stores - exposed via FastAPI and MCP.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **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/yagosamu/llamaindex_pydantic_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": "yagosamu-llamaindex-pydantic-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yagosamu-llamaindex-pydantic-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yagosamu-llamaindex-pydantic-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