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--- |
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title: MCP - RAG and Research |
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emoji: 🌍 |
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colorFrom: green |
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colorTo: blue |
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sdk: gradio |
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sdk_version: 5.32.1 |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: Demonstrates implementation of the MCP server using Gradio |
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tag: mcp-server-track |
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--- |
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# 👁 MCP powered RAG and Research 🌍 |
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I present to you a MCP powered RAG and Research. |
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RAG Tool uses GroundX service 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. |
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Please check [this PDF](https://airgroup2000.com/gallery/albums/userpics/32438/SU-35_TM_eng.pdf) to formulate queries on Sukhoi. |
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The Research Tool is implemented using multi-agent workflow using LlamaIndex (ResearchAgent, WriteAgent, and ReviewAgent). |
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## Available Tools |
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### search_knowledge_base_for_context |
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- **Description**: Searches and retrieves relevant context from a knowledge base based on the user's query. |
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- **Example Queries**: |
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- "What are the main features of fuel system of SU-35." |
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- "What are the combat potential of SU-35." |
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### research_write_review_topic |
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- **Description**: Helps with writing a report with research, writing, and review on any topic. |
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- **Example Queries**: |
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- "Write me a report on the history of the internet." |
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- "Write me a report on origin of the universe." |
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- "Write me a report on the impact of climate change on polar bears." |
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## How to Use |
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- Use the MCP RAG Tool tab above to query the knowledge base. |
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- Use the Research Tool tab above to write report on any topic. |
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## Demo Link |
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[Link to Demo on Youtube](https://youtu.be/wvHBqW2ABGg) |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
