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.

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.

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-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.

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.

multilingual chat support chatbot

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Azure OpenAI + LangChain chatbot with Streamlit

Sample chatbot web app using streamlit and Azure OpenAI

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

A Streamlit Chatbot RAG with Nodejs backend api powered by Azure OpenAI

A simple chatbot demo using streamlit and Azure OpenAI GPT Chat models.

Conversational AI chatbot using LangChain, FAISS, and Azure OpenAI with Streamlit session history.

A simple Streamlit chatbot demo for ISOM3400 based on HKUST's Azure OpenAI API.

Minimal Streamlit chatbot UI powered by Azure OpenAI with custom CSS and persistent chat history.

An intelligent chatbot for Standard Operating Procedure (SOP) compliance using LangChain, ChromaDB, Azure OpenAI, and Streamlit.

Ein moderner Chatbot mit Streamlit-Frontend, Azure OpenAI (GPT-4o) und dynamischer Tool-Nutzung über MCP.

Azure Library Q&A Chatbot | Python, Azure OpenAI, LangChain - Developed a RAG-based AI chatbot using Azure OpenAI and Azure AI Search to deliver accurate, context-aware answers with semantic search, automated ETL, and a Streamlit UI.

AI-powered chatbot with PDF RAG, SQL generation, and vector search using FAISS, Streamlit, and Azure OpenAI.

This is the frontend repo for COMP4651 cloud chatbot project using Streamlit, MongoDB, AWS OpenFaas and Azure OpenAI.

A Streamlit app to chat using voice or text with OpenAI GPT-4 chatbot using Azure Speech services.

A simple Streamlit-based chatbot UI powered by Azure OpenAI Service. This project demonstrates how to connect a frontend (Streamlit) with Azure’s GPT models for real-time Q&A.

A multi-agent chatbot system for searching information about people across the internet, built with LangGraph, Azure OpenAI, and Streamlit.