# Agentic-Doc-Search-RAG

> Agentic-Doc-Search-RAG — brijeshrakhasiya-agentic-doc-search-rag. Use this tool when you need to accurately retrieve information from documents and eliminate irrelevant or hallucinated answers. It solves problems of information overload and incorrect responses by grading answer relevance and utilizing multi-turn memory for context. With a Streamlit UI and MCP server integration, it takes in natural language queries and outputs precise, self-corrected answers.

Canonical page: https://skillsregistry.net/skills/brijeshrakhasiya-agentic-doc-search-rag  
JSON: https://api.skillsregistry.net/v1/skills/brijeshrakhasiya-agentic-doc-search-rag

## Description

Self-corrective Agentic RAG with LangGraph - eliminates hallucinations through intelligent relevance grading before answering. Features Streamlit UI, MCP server integration & multi-turn memory.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/BrijeshRakhasiya/Agentic-Doc-Search-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": "brijeshrakhasiya-agentic-doc-search-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brijeshrakhasiya-agentic-doc-search-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brijeshrakhasiya-agentic-doc-search-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