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---
title: MCP-Powered RAG and Research Topic
emoji: 🌍
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.32.1
app_file: app.py
pinned: false
license: mit
short_description: MCP-Powered RAG and Research Topic
tag: mcp-server-track
---
# 👁 MCP Powered RAG and Research Topic 🌍
I present to you an MCP-powered RAG and Research Topic.
The Tools are hosted and executed on **Modal Labs**
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.
The Research Tool is implemented using a multi-agent workflow using **LlamaIndex** (ResearchAgent, WriteAgent, and ReviewAgent).
<br>
The Agents use **Nebius** provided LLM.
## 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 |