Mcp_agent_streamlit_rag
- other
About
What is Mcp_agent_streamlit_rag?
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How to use Mcp_agent_streamlit_rag?
Set up by copying mcp_agent.secrets.yaml.example to mcp_agent.secrets.yaml, updating with an OpenAI API key, then run uv sync followed by uv run streamlit run main.py. For RAG with QDrant, uncomment specific lines in main.py, start the QDrant container via Docker, then run the Streamlit app.
Key features of Mcp_agent_streamlit_rag
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Use cases of Mcp_agent_streamlit_rag
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FAQ from Mcp_agent_streamlit_rag
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Details
- Author
- saqadri
- Category
- other
- Repository
- saqadri/mcp_agent_streamlit_rag
Run instructions:
For using fetch or finder MCP servers:
0. cp mcp_agent.secrets.yaml.example mcp_agent.secrets.yaml --> then update with your API key (openai api key is enough)
1. uv sync
2. uv run streamlit run main.py
For using QDrant for RAG:
0. Uncomment line 63-70 in main.py, and comment out the current instruction and server_names
1. docker pull qdrant/qdrant
2. docker run -p 6333:6333 -v $(pwd)/qdrant_storage:/qdrant/storage qdrant/qdrant
3. uv run streamlit run main.py
