A powerful chatbot application that bridges the gap between natural language and SQL databases. Built using Streamlit, LangChain, and OpenAI's GPT models, this project allows users to interact with SQL databases effortlessly. Whether you're querying MySQL or Azure SQL Server, this tool simplifies complex SQL queries into conversational language.

In this we have deployed a model in azure foundry and then used its endpoint and API key to develop chatbot application in streamlit

Healthcare RAG chatbot that retrieves from a curated medical Q&A CSV and answers via a local model—no external APIs—with numbered citations. Built with Streamlit + LangChain + FAISS, includes medical disclaimers/guardrails, and runs on CPU/GPU (deployable to Azure Container Apps or HF Spaces).