Enclava

Confidential AI Platform for businesses

Enclava is a comprehensive AI platform that makes privacy practical. It provides easy to create openai compatible chatbots and API endpoints with knowledge base access (RAG). All in a completely confidential way through privatemode.ai

Key Features

• AI Chatbots - Customizable chatbots with prompt templates and RAG integration (openai compatible)
• RAG System - Document upload, processing, and semantic search with Qdrant
• TEE Security - Privacy-protected LLM inference via confidential computing
• OpenAI Compatible - Standard API endpoints for seamless integration with existing tools
• Budget Management - Built-in spend tracking and usage limits

Quick Start

Prerequisites

• Docker and Docker Compose
• Git
• privatemode.ai api key

1. Clone Repository

git clone <repository-url>
cd enclava

2. Configure Environment

# Copy example environment file
cp .env.example .env

# Edit .env with your settings
vim .env

Required Configuration:

# Security
JWT_SECRET=your-super-secret-jwt-key-here-change-in-production

# PrivateMode.ai API Key (optional but recommended)
PRIVATEMODE_API_KEY=your-privatemode-api-key

# Base URL for CORS and frontend
BASE_URL=localhost

3. Deploy with Docker

# Start all services
docker compose up --build

# Or run in background
docker compose up --build -d

4. Access Application

• Main Application: http://localhost
• API Documentation: http://localhost/docs (backend API)
• Qdrant Dashboard: http://localhost:56333/dashboard

5. Default Login

• Username: admin
• Password: admin123

Change default credentials immediately in production!

Configuration

Environment Variables

See .env.example for all available configuration options.

Support

• Documentation: docs.enclava.ai
• Issues: Use the GitHub issue tracker
• Security: Report security issues privately

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