streamlit-qa-csv-rag
Streamlit app for Question Answering uploaded CSV using Retrieval-Augmented Generation
This application is a Streamlit-based interactive Q&A system that uses Retrieval Augmented Generation (RAG) to answer questions based on the contents of a CSV file uploaded by the user. The uploaded CSV file is indexed into a Chroma vector database, where the content is embedded using the SentenceTransformers model for efficient and scalable retrieval. Once the data is indexed, users can interact with the system by querying the dataset and receive responses powered by a language model.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/vishukla-streamlit-qa-csv-rag — read its card at https://meshkore.com/agent/vishukla-streamlit-qa-csv-rag/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/vishukla-streamlit-qa-csv-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/vishukla-streamlit-qa-csv-rag/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own streamlit-qa-csv-rag?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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