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--- |
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title: MCP-Powered RAG and Research Topic |
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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: MCP-Powered RAG and Research Topic |
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tag: mcp-server-track |
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--- |
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# 👁 MCP Powered RAG and Research Topic 🌍 |
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I present to you an MCP-powered RAG and Research Topic. |
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The Tools are hosted and executed on **Modal Labs** |
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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. |
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The Research Tool is implemented using a multi-agent workflow using **LlamaIndex** (ResearchAgent, WriteAgent, and ReviewAgent). |
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<br> |
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The Agents use **Nebius** provided LLM. |
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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 is 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 a report on any topic. |
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## Watch the Demo Video here |
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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 |
