akshata29/entaoai
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
Implements retrieval-augmented generation (RAG) using Azure OpenAI embeddings with pluggable vector stores (Pinecone, Redis, Azure Cognitive Search) for semantic search over enterprise documents. Supports multiple interaction patterns including streaming chat, Q&A with follow-up generation, and SQL natural language queries, with built-in evaluation metrics (groundedness, coherence, similarity) and optional Azure Prompt Flow integration for production deployments.
867 stars. No commits in the last 6 months.
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867
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246
Language
TypeScript
License
MIT
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Last pushed
Jan 02, 2025
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