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