feat: add Qdrant local mode support with in-memory and persistent storage
Adds flexible Qdrant deployment modes to reduce infrastructure requirements
for local development and smaller deployments:
**Configuration Changes:**
- Add QDRANT_LOCATION environment variable (mutually exclusive with QDRANT_URL)
- Three modes: network (URL), in-memory (:memory:, default), persistent (file path)
- Settings dataclass validation via __post_init__ ensures mutual exclusivity
- API key warning when set in local mode (ignored, only for network mode)
**Client Initialization:**
- Auto-detect mode: network (url + api_key) vs local (:memory: or path=)
- In-memory: AsyncQdrantClient(":memory:") - zero config default
- Persistent: AsyncQdrantClient(path="/app/data/qdrant") - file storage
- Network: AsyncQdrantClient(url, api_key) - production mode
**Docker Compose Updates:**
- Qdrant service moved to optional profile (--profile qdrant)
- MCP service uses QDRANT_LOCATION=:memory: by default
- Added mcp-data volume for persistent storage (/app/data)
- No hard dependency on qdrant service
**Documentation:**
- Comprehensive configuration guide in docs/configuration.md
- All three modes documented with pros/cons
- Docker Compose examples for each mode
- Environment variable reference table
**Tests:**
- 13 new config validation tests (mutual exclusivity, defaults, warnings)
- Persistent mode integration test (create, close, reopen, verify persistence)
- All 82 unit tests + 5 smoke tests pass
**Breaking Change:**
- Default changed from QDRANT_URL=http://qdrant:6333 to QDRANT_LOCATION=:memory:
- Simplifies local development (no external service needed)
- Production deployments: explicitly set QDRANT_URL or QDRANT_LOCATION
Related: ADR-007 background vector sync implementation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -108,6 +108,158 @@ NEXTCLOUD_PASSWORD=your_app_password_or_password
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---
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## Semantic Search Configuration (Optional)
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The MCP server includes semantic search capabilities powered by vector embeddings. This feature requires a vector database (Qdrant) and an embedding service.
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### Qdrant Vector Database Modes
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The server supports three Qdrant deployment modes:
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1. **In-Memory Mode** (Default) - Simplest for development and testing
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2. **Persistent Local Mode** - For single-instance deployments with persistence
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3. **Network Mode** - For production with dedicated Qdrant service
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#### 1. In-Memory Mode (Default)
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No configuration needed! If neither `QDRANT_URL` nor `QDRANT_LOCATION` is set, the server defaults to in-memory mode:
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```dotenv
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# No Qdrant configuration needed - defaults to :memory:
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VECTOR_SYNC_ENABLED=true
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```
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**Pros:**
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- Zero configuration
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- Fast startup
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- Perfect for testing
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**Cons:**
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- Data lost on restart
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- Limited to available RAM
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#### 2. Persistent Local Mode
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For single-instance deployments that need persistence without a separate Qdrant service:
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```dotenv
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# Local persistent storage
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QDRANT_LOCATION=/app/data/qdrant # Or any writable path
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VECTOR_SYNC_ENABLED=true
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```
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**Pros:**
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- Data persists across restarts
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- No separate service needed
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- Suitable for small/medium deployments
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**Cons:**
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- Limited to single instance
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- Shares resources with MCP server
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#### 3. Network Mode
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For production deployments with a dedicated Qdrant service:
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```dotenv
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# Network mode configuration
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QDRANT_URL=http://qdrant:6333
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QDRANT_API_KEY=your-secret-api-key # Optional
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QDRANT_COLLECTION=nextcloud_content # Optional
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VECTOR_SYNC_ENABLED=true
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```
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**Pros:**
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- Scalable and performant
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- Can be shared across multiple MCP instances
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- Supports clustering and replication
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**Cons:**
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- Requires separate Qdrant service
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- More complex deployment
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### Vector Sync Configuration
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Control background indexing behavior:
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```dotenv
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# Vector sync settings (ADR-007)
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VECTOR_SYNC_ENABLED=true # Enable background indexing
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VECTOR_SYNC_SCAN_INTERVAL=300 # Scan interval in seconds (default: 5 minutes)
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VECTOR_SYNC_PROCESSOR_WORKERS=3 # Concurrent indexing workers (default: 3)
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VECTOR_SYNC_QUEUE_MAX_SIZE=10000 # Max queued documents (default: 10000)
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```
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### Embedding Service Configuration
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The server uses an embedding service to generate vector representations. Two options are available:
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#### Ollama (Recommended)
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Use a local Ollama instance for embeddings:
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```dotenv
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OLLAMA_BASE_URL=http://ollama:11434
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OLLAMA_EMBEDDING_MODEL=nomic-embed-text # Default model
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OLLAMA_VERIFY_SSL=true # Verify SSL certificates
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```
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#### Simple Embedding Provider (Fallback)
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If `OLLAMA_BASE_URL` is not set, the server uses a simple random embedding provider for testing. This is **not suitable for production** as it generates random embeddings with no semantic meaning.
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### Environment Variables Reference
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| Variable | Required | Default | Description |
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|----------|----------|---------|-------------|
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| `QDRANT_URL` | ⚠️ Optional | - | Qdrant service URL (network mode) - mutually exclusive with `QDRANT_LOCATION` |
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| `QDRANT_LOCATION` | ⚠️ Optional | `:memory:` | Local Qdrant path (`:memory:` or `/path/to/data`) - mutually exclusive with `QDRANT_URL` |
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| `QDRANT_API_KEY` | ⚠️ Optional | - | Qdrant API key (network mode only) |
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| `QDRANT_COLLECTION` | ⚠️ Optional | `nextcloud_content` | Qdrant collection name |
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| `VECTOR_SYNC_ENABLED` | ⚠️ Optional | `false` | Enable background vector indexing |
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| `VECTOR_SYNC_SCAN_INTERVAL` | ⚠️ Optional | `300` | Document scan interval (seconds) |
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| `VECTOR_SYNC_PROCESSOR_WORKERS` | ⚠️ Optional | `3` | Concurrent indexing workers |
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| `VECTOR_SYNC_QUEUE_MAX_SIZE` | ⚠️ Optional | `10000` | Max queued documents |
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| `OLLAMA_BASE_URL` | ⚠️ Optional | - | Ollama API endpoint for embeddings |
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| `OLLAMA_EMBEDDING_MODEL` | ⚠️ Optional | `nomic-embed-text` | Embedding model to use |
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| `OLLAMA_VERIFY_SSL` | ⚠️ Optional | `true` | Verify SSL certificates |
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### Docker Compose Example
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Enable network mode Qdrant with docker-compose:
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```yaml
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services:
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mcp:
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environment:
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- QDRANT_URL=http://qdrant:6333
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- VECTOR_SYNC_ENABLED=true
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qdrant:
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image: qdrant/qdrant:latest
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ports:
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- 127.0.0.1:6333:6333
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volumes:
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- qdrant-data:/qdrant/storage
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profiles:
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- qdrant # Optional service
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volumes:
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qdrant-data:
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```
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Start with Qdrant service:
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```bash
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docker-compose --profile qdrant up
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```
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Or use default in-memory mode (no `--profile` needed):
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```bash
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docker-compose up
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```
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---
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## Loading Environment Variables
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After creating your `.env` file, load the environment variables:
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