Add EndeeRAG System — Production-Grade Hybrid Search RAG Pipeline#191
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Selvaragavanvsbec wants to merge 1 commit intoendee-io:masterfrom
Open
Add EndeeRAG System — Production-Grade Hybrid Search RAG Pipeline#191Selvaragavanvsbec wants to merge 1 commit intoendee-io:masterfrom
Selvaragavanvsbec wants to merge 1 commit intoendee-io:masterfrom
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This pull request introduces EndeeRAG, a full-stack, production-ready Retrieval-Augmented Generation (RAG) system powered by the Endee Vector Database.
Key Hackathon Features implemented:
Advanced Hybrid Search: Combines dense embeddings and sparse BM25 retrieval using Endee's Reciprocal Rank Fusion (RRF) for highly accurate context fetching.
Client-Side Encryption: Protects sensitive document metadata and chunk text locally before it ever hits the vector database using AES-128 Fernet encryption.
Interactive AI Chat: Fully wired OpenAI ChatGPT integration with conversation memory, contextual awareness, and automatic citation surfacing.
Performance Observability: Built-in Streamlit UI features that expose real-time metrics for parsing, chunking, embedding, and LLM generation latency directly to the user.
Thank you for reviewing our hackathon submission!