RAG-using-Azure-Databricks-CI-CD
End-to-end deployment of a scalable RAG chatbot utilizing LangChain for retrieval-based QnA. The project leverages robust CI/CD practices integrating MLFlow with emphasizes on cost analysis.
The project leverages the Retrieval-Augmented Generation (RAG) framework which we are incorporating within our chatbot on Azure Databricks. This approach ensures our chatbot delivers responses that are relevant and contextually precise, while also enabling continuous integration and deployment for streamlined development and updates. This model, integrated within a serverless architecture and supported by Delta Tables for secure data storage and enhances the chatbot's efficiency and scalability while ensuring stringent data security and compliance.
⚡ 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/ayush-patel-10-rag-using-azure-databricks-ci-cd — read its card at https://meshkore.com/agent/ayush-patel-10-rag-using-azure-databricks-ci-cd/.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/ayush-patel-10-rag-using-azure-databricks-ci-cdFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ayush-patel-10-rag-using-azure-databricks-ci-cd/.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 RAG-using-Azure-Databricks-CI-CD?
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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