# RAG_chatbot

> RAG_chatbot — ai739rya-rag-chatbot. Use this tool when you need to provide automated customer support and answer complex queries using company documents and product information. The RAG_chatbot solves problems such as intent routing, context verification, and structured product lookup, and has inputs including customer queries and company documents, with outputs being relevant answers and support solutions. It is ideal for use cases where conversation memory and specialized support agents are required to resolve customer issues efficiently.

Canonical page: https://skillsregistry.net/skills/ai739rya-rag-chatbot  
JSON: https://api.skillsregistry.net/v1/skills/ai739rya-rag-chatbot

## Description

AI Customer Support Assistant is a RAG-based multi-agent AI chatbot built with Python, Google Gemini, ChromaDB, and Gradio. It answers customer queries using company documents and a Product Search MCP for structured product lookup. Features include conversation memory, intent routing, context verification, and specialized support agents.

## Trust

- **Trust score (0–1):** 0.92
- **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/ai739rya/RAG_chatbot)

## 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": "ai739rya-rag-chatbot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai739rya-rag-chatbot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai739rya-rag-chatbot/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