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+# Cognee Docker Compose Documentation
+
+## Overview
+
+Cognee uses Docker Compose to orchestrate multiple services that work together to provide AI memory capabilities. The setup is designed with a modular architecture using Docker Compose profiles, allowing you to run only the services you need for your specific use case.
+
+## Architecture Overview
+
+The Docker Compose setup consists of several key components:
+
+- **Core Services**: Main backend API and optional MCP server
+- **Database Services**: Multiple database options (PostgreSQL, Neo4j, FalkorDB, ChromaDB)
+- **Frontend Service**: Next.js web interface (work in progress)
+- **Network**: Shared network for inter-service communication
+- **Profiles**: Optional service groups for different deployment scenarios
+
+## Service Architecture
+
+```
+┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
+│   Frontend      │    │   Cognee API    │    │  Cognee MCP     │
+│   (Next.js)     │    │   (Backend)     │    │   Server        │
+│   Port: 3000    │    │   Port: 8000    │    │   Port: 8000    │
+└─────────────────┘    └─────────────────┘    └─────────────────┘
+         │                       │                       │
+         └───────────────────────┼───────────────────────┘
+                                 │
+                    ┌─────────────────┐
+                    │  cognee-network │
+                    └─────────────────┘
+                                 │
+         ┌───────────┬─────────────┬─────────────┬─────────────┐
+         │           │             │             │             │
+    ┌─────────┐ ┌─────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────┐
+    │PostgreSQL│ │ Neo4j   │ │  FalkorDB   │ │  ChromaDB   │ │   ...   │
+    │Port: 5432│ │Port: 7474│ │Port: 6379   │ │Port: 3002   │ │         │
+    └─────────┘ └─────────┘ └─────────────┘ └─────────────┘ └─────────┘
+```
+
+## Services Overview
+
+### Core Services
+
+#### 1. Cognee (Main Backend API)
+- **Container Name**: `cognee`
+- **Build Context**: Root directory
+- **Ports**: 
+  - `8000:8000` (HTTP API)
+  - `5678:5678` (Debug port)
+- **Purpose**: Main Cognee backend API server
+- **Resources**: 4 CPUs, 8GB RAM
+
+#### 2. Cognee MCP Server
+- **Container Name**: `cognee-mcp`
+- **Profile**: `mcp`
+- **Build Context**: Root directory (using `cognee-mcp/Dockerfile`)
+- **Ports**: 
+  - `8000:8000` (MCP HTTP/SSE)
+  - `5678:5678` (Debug port)
+- **Purpose**: Model Context Protocol server for IDE integration (Cursor, Claude Desktop, VS Code)
+- **Resources**: 2 CPUs, 4GB RAM
+
+#### 3. Frontend
+- **Container Name**: `frontend`
+- **Profile**: `ui`
+- **Build Context**: `./cognee-frontend`
+- **Port**: `3000:3000`
+- **Purpose**: Next.js web interface (work in progress)
+- **Note**: Limited functionality - prefer MCP integration for full features
+
+### Database Services (All Optional)
+
+#### 1. PostgreSQL with pgvector
+- **Container Name**: `postgres`
+- **Profile**: `postgres`
+- **Image**: `pgvector/pgvector:pg17`
+- **Port**: `5432:5432`
+- **Purpose**: Relational database with vector extensions
+- **Credentials**: `cognee/cognee` (user/password)
+- **Database**: `cognee_db`
+
+#### 2. Neo4j
+- **Container Name**: `neo4j`
+- **Profile**: `neo4j`
+- **Image**: `neo4j:latest`
+- **Ports**: 
+  - `7474:7474` (HTTP interface)
+  - `7687:7687` (Bolt protocol)
+- **Purpose**: Graph database
+- **Credentials**: `neo4j/pleaseletmein`
+- **Plugins**: APOC, Graph Data Science
+
+#### 3. FalkorDB
+- **Container Name**: `falkordb`
+- **Profile**: `falkordb`
+- **Image**: `falkordb/falkordb:edge`
+- **Ports**: 
+  - `6379:6379` (Redis-compatible interface)
+  - `3001:3000` (Web interface)
+- **Purpose**: Graph database with Redis interface
+
+#### 4. ChromaDB
+- **Container Name**: `chromadb`
+- **Profile**: `chromadb`
+- **Image**: `chromadb/chroma:0.6.3`
+- **Port**: `3002:8000`
+- **Purpose**: Vector database
+- **Authentication**: Token-based (requires `VECTOR_DB_KEY`)
+- **Persistence**: Enabled with local volume
+
+## Docker Compose Profiles
+
+Profiles allow you to selectively run services based on your needs:
+
+### Available Profiles
+
+| Profile | Services | Use Case |
+|---------|----------|----------|
+| **(default)** | `cognee` only | Basic API server with SQLite |
+| `mcp` | `cognee-mcp` | IDE integration (Cursor/Claude Desktop) |
+| `ui` | `frontend` | Web interface (limited functionality) |
+| `postgres` | `postgres` | PostgreSQL database |
+| `neo4j` | `neo4j` | Graph database |
+| `falkordb` | `falkordb` | Alternative graph database |
+| `chromadb` | `chromadb` | Vector database |
+
+### Profile Usage Examples
+
+```bash
+# Basic API server only
+docker compose up
+
+# API server + PostgreSQL
+docker compose --profile postgres up
+
+# API server + Neo4j + ChromaDB
+docker compose --profile neo4j --profile chromadb up
+
+# MCP server + PostgreSQL (for IDE integration)
+docker compose --profile mcp --profile postgres up
+
+# Full stack with UI
+docker compose --profile ui --profile postgres up
+
+# All services
+docker compose --profile mcp --profile ui --profile postgres --profile neo4j --profile chromadb up
+```
+
+## Environment Configuration
+
+### Required Environment File
+
+Create a `.env` file in the root directory with your configuration:
+
+```bash
+# Core LLM Configuration
+LLM_API_KEY=your_openai_api_key_here
+LLM_PROVIDER=openai
+LLM_MODEL=gpt-4o-mini
+
+# Database Configuration (when using external databases)
+DB_PROVIDER=postgres  # or sqlite, neo4j, etc.
+DB_HOST=localhost
+DB_PORT=5432
+DB_NAME=cognee_db
+DB_USERNAME=cognee
+DB_PASSWORD=cognee
+
+# Vector Database (when using ChromaDB)
+VECTOR_DB_KEY=your_chroma_auth_token
+
+# Optional: Embedding Configuration
+EMBEDDING_PROVIDER=openai
+EMBEDDING_MODEL=text-embedding-3-large
+```
+
+### Environment Variables by Service
+
+#### Cognee (Main API)
+- `DEBUG`: Enable/disable debug mode
+- `HOST`: Bind host (default: 0.0.0.0)
+- `ENVIRONMENT`: Deployment environment (local/dev/prod)
+- `LOG_LEVEL`: Logging level (ERROR/INFO/DEBUG)
+
+#### Cognee MCP Server
+- `TRANSPORT_MODE`: Communication protocol (stdio/sse/http)
+- `MCP_LOG_LEVEL`: MCP-specific logging level
+- Database configuration (inherits from main service)
+
+#### Database Services
+- **PostgreSQL**: `POSTGRES_USER`, `POSTGRES_PASSWORD`, `POSTGRES_DB`
+- **Neo4j**: `NEO4J_AUTH`, `NEO4J_PLUGINS`
+- **ChromaDB**: Authentication and persistence settings
+
+## Container Build Process
+
+### Multi-Stage Build Strategy
+
+Both main services use multi-stage Docker builds for optimization:
+
+#### Stage 1: Dependency Installation (UV-based)
+```dockerfile
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
+# Install system dependencies and Python packages
+# Uses UV for fast dependency resolution
+```
+
+#### Stage 2: Runtime Environment
+```dockerfile
+FROM python:3.12-slim-bookworm
+# Lightweight runtime with only necessary components
+# Copy dependencies from build stage
+```
+
+### Build Context and Caching
+
+- **Main Service**: Uses root directory context, installs with multiple extras
+- **MCP Service**: Uses root context but builds from `cognee-mcp/` subdirectory
+- **Frontend**: Independent Node.js build in `cognee-frontend/`
+
+## Networking
+
+### Shared Network
+All services communicate through the `cognee-network` Docker network:
+
+```yaml
+networks:
+  cognee-network:
+    name: cognee-network
+```
+
+### Inter-Service Communication
+- Services can reach each other using container names as hostnames
+- External access through mapped ports
+- `host.docker.internal` for accessing host machine services
+
+## Volume Management
+
+### Application Code Volumes (Development)
+```yaml
+volumes:
+  - ./cognee:/app/cognee          # Main API code
+  - ./cognee-frontend/src:/app/src # Frontend source
+  - .env:/app/.env                # Environment configuration
+```
+
+### Persistent Data Volumes
+```yaml
+volumes:
+  - .chromadb_data/:/chroma/chroma/  # ChromaDB persistence
+  - postgres_data:/var/lib/postgresql/data  # PostgreSQL data
+```
+
+## Startup Process
+
+### 1. Database Migrations
+Both main services run Alembic migrations on startup:
+
+```bash
+alembic upgrade head
+```
+
+**Error Handling**: Special handling for `UserAlreadyExists` errors during default user creation - allows safe container restarts.
+
+### 2. Service Initialization
+
+#### Main API Service
+- Runs Gunicorn with Uvicorn workers
+- Development mode: Hot reloading enabled
+- Production mode: Optimized for performance
+- Debug mode: Debugpy integration on port 5678
+
+#### MCP Service
+- Supports multiple transport modes (stdio/sse/http)
+- Configurable via `TRANSPORT_MODE` environment variable
+- Debug support with port 5678
+
+## Resource Allocation
+
+### CPU and Memory Limits
+
+| Service | CPU Limit | Memory Limit | Rationale |
+|---------|-----------|--------------|-----------|
+| cognee | 4.0 cores | 8GB | Main processing service |
+| cognee-mcp | 2.0 cores | 4GB | Lighter MCP operations |
+| frontend | unlimited | unlimited | Development convenience |
+| databases | unlimited | unlimited | Database-specific needs |
+
+## Development Features
+
+### Debug Support
+- **Port 5678**: Debugpy integration for both main services
+- **Environment Variable**: Set `DEBUG=true` to enable
+- **Wait for Client**: Debugger waits for IDE attachment
+
+### Hot Reloading
+- **API**: Gunicorn reload mode in development
+- **Frontend**: Next.js development server with file watching
+- **Volume Mounts**: Live code synchronization
+
+### Development vs Production
+
+#### Development Mode (`ENVIRONMENT=dev/local`)
+- Hot reloading enabled
+- Debug logging
+- Single worker processes
+- Extended timeouts
+
+#### Production Mode
+- Multiple workers (configurable)
+- Error-level logging only
+- Optimized performance settings
+- No hot reloading
+
+## Usage Patterns
+
+### 1. Basic Development Setup
+```bash
+# Start with basic API + SQLite
+docker compose up
+
+# View logs
+docker compose logs -f cognee
+```
+
+### 2. Full Development Environment
+```bash
+# Start with PostgreSQL database
+docker compose --profile postgres up -d
+
+# Add vector database for embeddings
+docker compose --profile postgres --profile chromadb up -d
+```
+
+### 3. IDE Integration Development
+```bash
+# Start MCP server for Cursor/Claude Desktop integration
+docker compose --profile mcp --profile postgres up -d
+
+# Check MCP server status
+docker compose logs cognee-mcp
+```
+
+### 4. UI Development
+```bash
+# Start with frontend for web interface testing
+docker compose --profile ui --profile postgres up -d
+
+# Access frontend at http://localhost:3000
+```
+
+### 5. Graph Analysis Setup
+```bash
+# Start with graph database for complex relationships
+docker compose --profile neo4j --profile postgres up -d
+
+# Access Neo4j browser at http://localhost:7474
+```
+
+## Port Mapping
+
+| Service | Internal Port | External Port | Purpose |
+|---------|---------------|---------------|---------|
+| cognee | 8000 | 8000 | HTTP API |
+| cognee | 5678 | 5678 | Debug |
+| cognee-mcp | 8000 | 8000 | MCP HTTP/SSE |
+| cognee-mcp | 5678 | 5678 | Debug |
+| frontend | 3000 | 3000 | Web UI |
+| postgres | 5432 | 5432 | Database |
+| neo4j | 7474 | 7474 | Web interface |
+| neo4j | 7687 | 7687 | Bolt protocol |
+| falkordb | 6379 | 6379 | Redis interface |
+| falkordb | 3000 | 3001 | Web interface |
+| chromadb | 8000 | 3002 | Vector DB API |
+
+## Security Considerations
+
+### Database Authentication
+- **PostgreSQL**: Default credentials (`cognee/cognee`)
+- **Neo4j**: Default credentials (`neo4j/pleaseletmein`)
+- **ChromaDB**: Token-based authentication via `VECTOR_DB_KEY`
+
+### Network Isolation
+- All services communicate through isolated `cognee-network`
+- External access only through explicitly mapped ports
+- `host.docker.internal` for secure host access
+
+## Troubleshooting
+
+### Common Issues
+
+#### Port Conflicts
+```bash
+# Check for port conflicts
+docker compose ps
+netstat -tulpn | grep :8000
+```
+
+#### Database Connection Issues
+```bash
+# Check database container status
+docker compose --profile postgres ps
+
+# View database logs
+docker compose --profile postgres logs postgres
+```
+
+#### Service Dependencies
+```bash
+# Ensure services start in correct order
+docker compose up -d postgres  # Start database first
+docker compose up cognee        # Then start main service
+```
+
+### Debug Mode
+
+#### Enable Debug Mode
+1. Set `DEBUG=true` in your `.env` file or as environment variable
+2. Restart the service:
+```bash
+docker compose down
+docker compose up
+```
+
+#### Attach Debugger
+1. Start service in debug mode
+2. Connect your IDE debugger to `localhost:5678`
+3. Set breakpoints and debug as needed
+
+### Log Analysis
+```bash
+# View all service logs
+docker compose logs
+
+# Follow logs in real-time
+docker compose logs -f
+
+# Service-specific logs
+docker compose logs cognee
+docker compose logs postgres
+```
+
+## Maintenance
+
+### Container Management
+```bash
+# Stop all services
+docker compose down
+
+# Stop and remove volumes
+docker compose down -v
+
+# Rebuild containers after code changes
+docker compose build
+docker compose up --force-recreate
+```
+
+### Data Persistence
+- **ChromaDB**: Data persisted in `.chromadb_data/` directory
+- **PostgreSQL**: Data persisted in named volume `postgres_data`
+- **Neo4j**: No explicit persistence configured (data lost on container restart)
+
+### Updates and Rebuilds
+```bash
+# Pull latest images
+docker compose pull
+
+# Rebuild custom images
+docker compose build --no-cache
+
+# Update specific service
+docker compose up -d --no-deps --build cognee
+```
+
+## Performance Optimization
+
+### Resource Tuning
+Adjust resource limits in `docker-compose.yml`:
+
+```yaml
+deploy:
+  resources:
+    limits:
+      cpus: "4.0"      # Adjust based on available CPU
+      memory: 8GB      # Adjust based on available RAM
+```
+
+### Database Optimization
+- **PostgreSQL**: Consider shared_buffers and work_mem tuning
+- **Neo4j**: Configure heap size via NEO4J_dbms_memory_heap_max_size
+- **ChromaDB**: Increase memory allocation for large datasets
+
+## Integration Examples
+
+### Local Development
+```bash
+# Start minimal setup for local development
+docker compose up
+
+# Add database when needed
+docker compose --profile postgres up -d
+```
+
+### IDE Integration (Recommended)
+```bash
+# Start MCP server for Cursor/Claude Desktop
+docker compose --profile mcp --profile postgres up -d
+
+# Configure your IDE to connect to localhost:8000
+```
+
+### Production Deployment
+```bash
+# Production-ready setup
+docker compose --profile postgres --profile chromadb up -d
+
+# With environment overrides
+ENVIRONMENT=production LOG_LEVEL=ERROR docker compose up -d
+```
+
+## Alternative Configurations
+
+### Helm Deployment
+For Kubernetes deployment, use the Helm configuration:
+- Location: `deployment/helm/`
+- Simplified setup with just Cognee + PostgreSQL
+- Kubernetes-native resource management
+
+### Distributed Mode
+For distributed processing:
+- Uses separate `distributed/Dockerfile`
+- Configured for Modal.com integration
+- Environment: `COGNEE_DISTRIBUTED=true`
+
+## Environment Templates
+
+### Minimal Configuration
+```bash
+# .env (minimal setup)
+LLM_API_KEY=your_openai_api_key_here
+```
+
+### Full Configuration
+```bash
+# .env (full setup)
+# LLM Configuration
+LLM_API_KEY=your_openai_api_key_here
+LLM_PROVIDER=openai
+LLM_MODEL=gpt-4o-mini
+
+# Database Configuration
+DB_PROVIDER=postgres
+DB_HOST=host.docker.internal
+DB_PORT=5432
+DB_NAME=cognee_db
+DB_USERNAME=cognee
+DB_PASSWORD=cognee
+
+# Vector Database
+VECTOR_DB_KEY=your_chroma_auth_token
+
+# Embedding Configuration
+EMBEDDING_PROVIDER=openai
+EMBEDDING_MODEL=text-embedding-3-large
+
+# Debug Configuration
+DEBUG=false
+LOG_LEVEL=INFO
+```
+
+## Best Practices
+
+1. **Start Simple**: Begin with the basic setup and add profiles as needed
+2. **Use Profiles**: Leverage profiles to avoid running unnecessary services
+3. **Environment Files**: Always use `.env` files for configuration
+4. **Resource Management**: Monitor resource usage and adjust limits accordingly
+5. **Data Persistence**: Ensure important data is properly mounted or volumed
+6. **Network Security**: Keep services on the isolated network
+7. **Debug Safely**: Only enable debug mode in development environments
+
+## Quick Start Commands
+
+```bash
+# Clone and setup
+git clone <repository>
+cd cognee
+
+# Create environment file
+cp .env.template .env  # Edit with your configuration
+
+# Basic start
+docker compose up
+
+# Full development environment
+docker compose --profile postgres --profile chromadb up -d
+
+# IDE integration
+docker compose --profile mcp --profile postgres up -d
+
+# Check status
+docker compose ps
+
+# View logs
+docker compose logs -f
+
+# Stop everything
+docker compose down
+```
+
+This Docker Compose setup provides a flexible, scalable foundation for running Cognee in various configurations, from simple development setups to complex multi-database deployments.
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