AI-powered document search with citations. Upload documents, chat with AI, get accurate answers backed by your content.
| Feature | Description |
|---|---|
| Context Isolation | Organize documents into folders for zero-noise retrieval |
| Cited Answers | Every response links directly to source content |
| Real-time Collaboration | Share folders with your team |
| Smart Search | Vector-powered semantic search with LangGraph agents |
| Category | Technologies |
|---|---|
| Backend | FastAPI • Python 3.12 • LangGraph • ChromaDB • PostgreSQL • Prisma |
| Frontend | Next.js 15 • React • TypeScript • Tailwind CSS • shadcn/ui |
| AI | Google Gemini 1.5 Flash |
flowchart TD
A[1. Upload<br/>Documents are chunked and embedded] --> B[2. Store<br/>Embeddings → ChromaDB<br/>Metadata → PostgreSQL]
B --> C[3. Query<br/>Semantic search retrieves relevant chunks]
C --> D[4. Generate<br/>LangGraph agent + Gemini synthesizes answer]
D --> E[5. Stream<br/>Response streams via SSE with citations]
style A fill:#1e293b,stroke:#475569,color:#e2e8f0
style B fill:#1e293b,stroke:#475569,color:#e2e8f0
style C fill:#1e293b,stroke:#475569,color:#e2e8f0
style D fill:#1e293b,stroke:#475569,color:#e2e8f0
style E fill:#1e293b,stroke:#475569,color:#e2e8f0
git clone https://github.com/dasakash26/Recap.git
cd Recap/backend
# Install dependencies
uv sync
# Setup environment
cp .env.example .env
# Edit .env with your credentials# Generate Prisma client and run migrations
uv run prisma generate
uv run prisma migrate deploy
# Start server
uv run uvicorn main:app --reloadBackend runs at http://localhost:8000 • API docs at /docs
cd ../frontend
# Install dependencies
pnpm install
# Setup environment
cp .env.example .env.local
# Edit .env.local with backend URL.env.local file example:
# Start dev server
pnpm devFrontend runs at http://localhost:3000
MIT © 2026 Akash Das