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jaivardhan2409/document-ai-analyst

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App README

🧠 Document AI Analyst — Enterprise Agentic RAG System

Upload complex PDFs, DOCX files, CSVs, or text documents and chat with an AI agent that provides accurate, cited insights powered by Retrieval-Augmented Generation.

✨ Features

—Multi-Format Upload — PDF, DOCX, TXT, CSV, and Markdown with smart chunking
—Semantic Search — High-precision vector retrieval using Google Gemini embeddings
—Streaming Chat — Real-time AI responses with inline source citations
—Data Isolation — Per-user knowledge bases and vector collections for complete privacy
—Persistent Sessions — Seamless authentication with secure JWT tokens
—Premium UI — Custom dark-themed Streamlit interface with glassmorphism and micro-animations

🏗️ Architecture

Layer	Technology
Frontend	Streamlit, Custom CSS Injection, SSE
Backend	FastAPI, SQLAlchemy, JWT Auth
Embeddings	Google Gemini (`gemini-embedding-001`)
Vector Store	ChromaDB (persistent, per-user collections)
Database	PostgreSQL (User metadata, Document tracking)
LLM	Google Gemini (`gemini-2.5-flash-lite`)
Deployment	Docker Compose multi-container orchestration

🚀 Quick Start

1.Clone the repository and create your .env file:

bash

   cp .env.example .env

1.Add your Gemini API Key to the .env file.
2.Start the application using Docker Compose:

bash

   docker compose up -d --build

1.Access the UI at http://localhost:7860. Register an account, upload a document, and start chatting!

🔧 Local Development

Backend

bash

cd backend
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --port 8000 --reload

Frontend

bash

cd frontend
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run app.py

📦 Environment Variables

Variable	Required	Description
`GEMINI_API_KEY`	✅	Google Gemini API key for LLM and embeddings
`POSTGRES_USER`	✅	PostgreSQL database user
`POSTGRES_PASSWORD`	✅	PostgreSQL database password
`POSTGRES_DB`	✅	PostgreSQL database name
`SECRET_KEY`	✅	JWT signing secret string

🛠️ Tech Stack

Built with: FastAPI • Streamlit • ChromaDB • Google Gemini • PostgreSQL • Docker Compose