ChatGPT + Enterprise data with Azure OpenAI

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo and gpt3), and vector store (Pinecone, Redis and others) or Azure cognitive search for data indexing and retrieval.

The repo provides a way to upload your own data so it's ready to try end to end.

Updates

• 3/16/2023 - Initial Release, Ask your Data and Chat with your Data
• 3/17/2023
  • Support uploading Multiple documents
  • Bug fix - Redis Vectorstore Implementation
• 3/18/2023 - API to generate summary on documents & Sample QA
• 3/19/2023 - Add GPT3 Chat Implementation
• 3/23/2023 - Add Cognitive Search as option to store documents
• 3/29/2023 - Automated Deployment script
• 4/8/2023 - Ask your SQL - Using SQL Database Agent or Using SQL Database Chain
• 4/13/2023 - Add new feature to support asking questions on multiple document using Vector QA Agent
• 4/17/2023 - Real-time Speech Analytics and Speech to Text and Text to Speech for Chat & Ask Features. (You can configure Text to Speech feature from the Developer settings. You will need Azure Speech Services)
• 4/21/2023 - Add SQL Query & SQL Data tab to SQL NLP and fix Citations & Follow-up questions for Chat & Ask features

Test Website

Chat and Ask over your data

Features

List of Features

Architecture

Azure Architecture

Getting Started

Get Started

Configuration

Application and Function App Configuration

Resources

• Revolutionize your Enterprise Data with ChatGPT: Next-gen Apps w/ Azure OpenAI and Cognitive Search
• Azure Cognitive Search
• Azure OpenAI Service

Note

Adapted from the Azure OpenAI Search repo at OpenAI-CogSearch