Example for Deploying Chatbot using Streamlit and Azure Web App

A low latency parser and chatbot engine leveraging Azure OpenAI Embeddings with 2 custom fine-tuned LLMs, achieving ultra-low 100ms delay via MongoDB Atlas Vector Search and Redis while storing the uploaded documents on AWS S3. Deployed the FastAPI and Streamlit images with Jenkins pipelines on Azure Container Apps, reducing 60% peak loads.

Developed an end-to-end LLM sommelier chatbot that uses Microsoft Azure Open AI, LangChain, and the RAG method for wine recommendations. Powered by FastAPI and Streamlit. CI/CD with GitHub Actions

Develop accessible ChatBot with Azure OpenAI and Streamlit

This project demonstrates a small-scale proof-of-concept deployment of an enterprise chatbot leveraging the power of Azure OpenAI and Azure AI Search, built and deployed using Streamlit. Utilizing the Retrieval-Augmented Generation (RAG) pattern.

Example script that uses Azure OpenAI & Streamlit To Create A ChatBot

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.

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A chatbot that can answer questions based on PDF documents using Langchain, Azure OpenAI and Streamlit.

Open AI GPT Q&A ChatBot. Developed using LangChain, OpenAI - GPT3.5 Turbo, Facebook FAISS, Streamlit, Azure

AI chatbot for IPL statistics and data analysis powered by Azure Open AI, Python, LangChain, SQL, and Streamlit

Build an AI chatbot for company documents using Azure AI Foundry and Streamlit. Query your organization's data with natural language

AI-powered office admin FAQ chatbot using Routing Agent + RAG pipeline (Azure OpenAI + Streamlit). Future: Japanese support, LLM-JP, and Slack bot deployment.

This repository contains a chatbot project that stores data in Pinecone, a vector database, and uses LangChain and Azure OpenAI to generate responses. It also includes a Streamlit interface to interact with the chatbot and test the code.

An AI-powered SQL Chatbot built with LangChain, Azure OpenAI, and Streamlit. Converts natural language queries into SQL and fetches results instantly. Simplifies data access for non-technical users with an interactive UI.

This project is an interactive AI-powered SQL chatbot built using LangChain, an LLM, Azure SQL Database, and Streamlit. It allows users to query relational data in natural language and get accurate, structured responses

une app Streamlit avec Azure ayant pour but de faciliter l'intégration des nouveaux employées dans une entreprise avec un chatbot permettant uploader des fichiers et de répondre à toutes leurs questions avec des réponses cohérantes

A RAG chatbot using Streamlit and Azure OpenAI that allows users to query uploaded documents with contextual responses. The app reuses embeddings for previously uploaded files, reducing processing costs, and offers custom prompt options to tailor answers.

PostgreSQL Chat Database is a Streamlit-powered chatbot using Azure OpenAI's GPT-4o. Transform natural language questions into SQL queries instantly. Perfect for data analysts and developers seeking database interactions without writing SQL. Features automatic schema detection, query visualization, and AI-powered responses.

An intelligent Hiring Assistant chatbot built with Python and Streamlit. It automates candidate screening by gathering details and generating custom technical questions based on the user's declared Tech Stack using the Groq Llama 3.3 LLM. Features sentiment analysis, Azure cloud deployment, and secure data logging.

AZURE STREAMLIT CHATBOT

Stream lit based chatbot uses Azure OPENAI subscription and Faiss Index and Embedding with Embedding small model

Chat demo on streamlit using lanchain and streamlit

multilingual chat support chatbot

Azure OpenAI + LangChain chatbot with Streamlit

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

Sample chatbot web app using streamlit and Azure OpenAI

RAG Chatbot using FastAPI, Streamlit, Azure OpenAI, and Pinecone.

RAG-powered Financial Knowledge Chatbot on Azure — GPT-4o, Azure AI Search, FastAPI, Streamlit