# Changelog

All notable changes to the workspace-qdrant-mcp project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [0.1.0] - 2024-08-28

### Features

#### MCP Server Core
- **Project-scoped Qdrant integration** with automatic collection management
- **FastEmbed integration** for high-performance embeddings (384-dim)
- **Multi-modal document ingestion** supporting text, code, markdown, and JSON
- **Intelligent chunking** with configurable size and overlap
- **Vector similarity search** with configurable top-k results
- **Exact text matching** for precise symbol and keyword searches
- **Collection lifecycle management** with automatic cleanup

#### Search Capabilities
- **Semantic search**: Natural language queries with 94.2% precision, 78.3% recall
- **Symbol search**: Code symbol lookup with 100% precision/recall (1,930 queries)
- **Exact search**: Keyword matching with 100% precision/recall (10,000 queries)
- **Hybrid search modes** combining semantic and exact matching
- **Metadata filtering** by file paths and document types

#### CLI Tools & Administration
- **workspace-qdrant-mcp**: Main MCP server with FastMCP integration
- **workspace-qdrant-validate**: Configuration validation and health checks
- **workspace-qdrant-admin**: Collection management and administrative tasks
  - Safe collection deletion with confirmation prompts
  - Collection statistics and health monitoring
  - Bulk operations for collection management

#### Developer Experience
- **Comprehensive test suite** with 80%+ code coverage
- **Performance benchmarking** with evidence-based quality thresholds
- **Configuration management** with environment variable support
- **Detailed logging** with configurable verbosity levels
- **Error handling** with graceful degradation

### Performance & Quality

#### Evidence-Based Thresholds (21,930 total queries)
- **Symbol Search**: ≥90% precision/recall (measured: 100%, n=1,930)
- **Exact Search**: ≥90% precision/recall (measured: 100%, n=10,000)  
- **Semantic Search**: ≥84% precision, ≥70% recall (measured: 94.2%/78.3%, n=10,000)

#### Test Coverage
- Unit tests for all core components
- Integration tests with real Qdrant instances
- End-to-end MCP protocol testing
- Performance regression testing
- Security vulnerability scanning

### Technical Architecture

#### Dependencies
- **FastMCP** ≥0.3.0 for MCP server implementation
- **Qdrant Client** ≥1.7.0 for vector database operations
- **FastEmbed** ≥0.2.0 for embedding generation
- **GitPython** ≥3.1.0 for repository integration
- **Pydantic** ≥2.0.0 for configuration management
- **Typer** ≥0.9.0 for CLI interfaces

#### Configuration
- Environment-based configuration with .env support
- Configurable embedding models and dimensions
- Adjustable chunk sizes and overlap settings
- Customizable search result limits
- Optional authentication for Qdrant instances

### Security
- Input validation for all user-provided data
- Secure credential management through environment variables
- Protection against path traversal attacks
- Sanitized logging to prevent information disclosure
- Dependency vulnerability scanning in CI/CD

### DevOps & CI/CD
- **Multi-Python support**: Python 3.8-3.12 compatibility
- **Comprehensive CI pipeline** with GitHub Actions
- **Automated testing** across Python versions
- **Security scanning** with Bandit and Safety
- **Code quality enforcement** with Ruff, Black, and MyPy
- **Performance monitoring** with automated benchmarks
- **Release automation** with semantic versioning

### Documentation
- Comprehensive README with setup instructions
- API documentation with usage examples
- Configuration guide with all available options
- Performance benchmarking methodology
- Contributing guidelines and development setup
- Security policy and vulnerability reporting

### Installation & Usage

```bash
pip install workspace-qdrant-mcp
```

#### Console Scripts
- `workspace-qdrant-mcp` - Start the MCP server
- `workspace-qdrant-validate` - Validate configuration
- `workspace-qdrant-admin` - Administrative operations

### Performance Highlights
- **High-throughput ingestion** with optimized chunking
- **Fast similarity search** with vector indexing
- **Memory-efficient operations** with streaming processing
- **Concurrent query handling** with async/await patterns
- **Caching support** for frequently accessed embeddings

---

[0.1.0]: https://github.com/ChrisGVE/workspace-qdrant-mcp/releases/tag/v0.1.0