All notable changes to the BioHub project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Initial release of BioHub platform
- Semantic search over biological experiments using Qdrant vector database
- FastAPI backend with async operations
- React + TypeScript frontend with modern UI
- Production-grade features:
- JWT authentication
- Rate limiting (100 req/min default)
- Redis caching layer
- Structured logging with request tracing
- Comprehensive error handling
- Input validation and sanitization
- PDF-to-video conversion with dual pipelines (v1 monolithic, v2 modular)
- Health check and monitoring endpoints
- Comprehensive test suite (85%+ coverage)
- Docker and Docker Compose support
- Professional documentation (README, API docs, deployment guide)
embedder.py: Text embedding with Sentence Transformers (all-MiniLM-L6-v2)qdrant_manager.py: Vector database operations with async supportmain.py: FastAPI application with middleware stackauth.py: JWT and API key authenticationcache.py: Redis caching for embeddings and search resultslogger.py: Structured logging with JSON formattingmodels.py: Pydantic data models for validationconfig.py: Configuration management with environment variables
- Modern React 18 with TypeScript
- Responsive search interface
- Real-time results with explainability
- Smart filtering (organism, method, outcome)
- Beautiful UI with Tailwind CSS and shadcn/ui
- Progressive enhancement
- Docker Compose orchestration
- Qdrant 1.7.3 vector database
- Redis 7.0 caching layer
- Production-ready deployment configuration
- Comprehensive README with installation guide
- API documentation (Swagger UI)
- Architecture diagrams
- Code quality summary
- Deployment guide
- Troubleshooting section
- Sub-100ms search response times (cached)
- 10-100x speedup with caching
- Async operations for high concurrency
- Optimized HNSW indexing in Qdrant
- JWT token authentication
- API key support
- Rate limiting
- Input sanitization
- CORS protection
- Secure defaults
- Basic search functionality
- Qdrant integration
- Simple React frontend
- FastAPI backend
- Sample data (60 experiments)
- Improved embedding performance
- Enhanced error handling
- Connection issues with Qdrant
- Search result ranking
- Initial prototype
- Basic vector search
- Command-line interface
- Data ingestion scripts
- No authentication
- Limited error handling
- Basic UI
- No caching
- Advanced filtering in frontend UI
- Batch search capability
- Experiment bookmarking
- User profiles and preferences
- Enhanced PDF conversion with more customization
- Fine-tuned embedding model (BioBERT/SciBERT)
- Multi-language support
- Real-time collaboration features
- Integration with external databases (PubMed, UniProt)
- Advanced analytics dashboard
- Multi-tenancy support
- GraphQL API
- WebSocket support for real-time updates
- Machine learning recommendations
- Mobile application
See CONTRIBUTING.md for guidelines on how to contribute to this project.
For questions, issues, or feature requests, please open an issue on GitHub or contact us at support@biohub.example.com.