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akshata29/entaoai

Enterprise RAG application enabling chat-based Q&A over uploaded private data using Azure OpenAI and vector stores.

865 stars TypeScript RAG · SearchChat AssistantsAgents
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This repository provides a complete RAG (Retrieval Augmented Generation) system for enterprise data. Users can upload their data, which gets indexed into vector stores like Pinecone or Redis, or into Azure Cognitive Search. The system then uses GPT-35-turbo or GPT-3 via Azure OpenAI to answer questions from the uploaded content. It includes autonomous agent capabilities via PromptFlow, evaluation pipelines for measuring response groundedness, and supports streaming chat responses.

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