README.md

---
title: 🏃 MCP-Powered RAG and Research Topic 🌍
emoji: 🌍
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.33.1
app_file: app.py
pinned: true
license: mit
short_description: MCP-Powered RAG and Research Topic
models:
- meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
  - mcp-server-track
  - Agents-MCP-Hackathon
---

# 🏃 MCP Powered RAG and Research Topic 🌍

I present to you an 🏃 MCP-powered RAG and Research Topic 🌍.
The MCP Tools are hosted and executed on **Modal Labs** platform.

RAG Tool uses the **GroundX** storage by **eyelevel.ai** to fetch the knowledge base. The knowledge base is a document that contains information about the SU-35 aircraft, including its features, capabilities, and specifications. Please check [this PDF](https://airgroup2000.com/gallery/albums/userpics/32438/SU-35_TM_eng.pdf) to formulate queries on Sukhoi. Other queries will not generate content 

The Research Tool is implemented using a multi-agent workflow using **LlamaIndex**.
<br>
The Agents use **Nebius** provided LLM (meta-llama/Meta-Llama-3.1-8B-Instruct).

## Available Tools

### search_knowledge_base_for_context
- **Description**: Searches and retrieves relevant context from a knowledge base based on the user's query.
- **Example Queries**:
    - "What are the main features of fuel system of SU-35?"
    - "What is the combat potential of SU-35?"

### research_write_review_topic
- **Description**: Helps with writing a report with research, writing, and review on any topic.
- **Example Queries**:
    - "Write me a report on the history of the internet."
    - "Write me a report on origin of the universe."
    - "Write me a report on the impact of climate change on polar bears."

## How to Use
- Use the MCP RAG Tool tab above to query the knowledge base.
- Use the Research Tool tab above to write a report on any topic.

## Watch the Demo Video here
[Link to Demo on Youtube](https://youtu.be/wvHBqW2ABGg)

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference