Endee AI Knowledge Assistant

[kruthikn7]

🚀 Endee AI Knowledge Assistant (RAG + Voice Enabled)

📌 Overview

This pull request introduces a full-stack AI application built using Endee vector database to demonstrate a real-world Retrieval-Augmented Generation (RAG) system.

The application enables semantic search, document understanding, and voice-based interaction.

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🔥 Key Features

• 📄 Upload and process documents (PDF / TXT)
• 🔍 Semantic search using Endee vector database
• 🤖 Context-aware responses using RAG pipeline
• 🎤 Voice input (speech-to-text using Web Speech API)
• 💬 Chat-based interface with modern UI

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🧠 Technical Highlights

• Integrated Endee for vector storage and similarity search
• Implemented complete RAG pipeline (retrieval + generation)
• Built backend using FastAPI
• Developed frontend using React
• Designed scalable and clean architecture

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🛠️ Tech Stack

• Frontend: React, Axios
• Backend: FastAPI, Uvicorn
• AI/ML: Sentence Transformers / OpenAI
• Vector Database: Endee

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✅ Assignment Requirements Completed

• ⭐ Starred Endee repository
• 🍴 Forked Endee repository
• 🛠️ Built project on top of fork
• 🤖 Implemented real-world AI use case

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▶️ How to Run

Backend

cd backend
uvicorn app.main:app --reload

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Frontend

cd frontend
npm install
npm start

📸 Demo :

llm.mp4

💡 Notes

This project demonstrates how Endee can be used in production-ready AI systems for efficient semantic retrieval and intelligent response generation.

[hemant-endee]

Thanks for your contribution! However, this type of project should not be included directly in this server repository.

Please create a separate repository for your project and just mention endee vectordatabase. You can refer to this example structure: https://github.com/iamdainwi/codemind

For this reason, we will be closing this PR.