Releases: tesseractai-lab/TesseractRAG
Releases · tesseractai-lab/TesseractRAG
Release list
TesseractRAG v2.0.1 — Production-Ready Release
This release focuses heavily on improving the overall user experience, conversation quality, system stability, and production readiness.
TesseractRAG is now significantly more context-aware, smoother during interactions, and more reliable under real-world usage.
✨ Highlights
🧠 Smarter Query Rewriting & Context Awareness
- Enhanced query rewriting pipeline with conversation history support
- Better understanding of follow-up questions and multi-turn conversations
- Improved contextual prompt generation for more natural interactions
💬 Improved User Experience
- More user-friendly and conversational AI behavior
- Smoother interaction flow and response generation
- Added automatic chat scroll-to-bottom behavior
- Improved session handling and reduced relogin friction
- Better refresh token experience for more stable sessions
⚡ Performance & Reliability Improvements
- Added reranker warmup optimization for faster initial responses
- Improved API response handling and model switching logic
- Enhanced caching behavior without requiring Redis in all scenarios
- Better overall responsiveness and runtime stability
👤 Guest User System Enhancements
- Implemented improved guest account creation flow
- Better guest session management and usability improvements
🛠 Infrastructure & Configuration Improvements
- Added Redis URL configuration support
- Improved limiter configuration integration
- Removed hardcoded values in favor of environment-driven configuration
- Fixed API base URL trailing slash issues
- Updated production environment configuration handling
🧹 Internal Fixes & Cleanup
- Fixed message and evaluation schema edge cases
- Improved validation behavior across multiple components
- General bug fixes and stability improvements
- Updated and improved project documentation and README
🔥 Overall Result
TesseractRAG v2.0.1 delivers a noticeably more polished AI experience with:
- Better conversational memory
- Smoother interactions
- Improved reliability
- Stronger production readiness
- More natural and human-friendly responses
The assistant now feels significantly smarter, faster, and more enjoyable to use during real conversations.
TesseractRAG v2.0.0 — Production-Ready Release
What's New in v2.0.0
TesseractRAG v2 is a full rewrite of the original prototype,
built for production use with a modular, extensible architecture.
Highlights
- 🔐 JWT Authentication + Guest Access
- 🧠 Multi-provider Embeddings & Generation (Jina, Groq, HuggingFace)
- 🔍 Hybrid Retrieval with BM25 + Vector Search
- 🌍 Arabic + English language support
- 🗄️ PostgreSQL + pgvector + FAISS
- 📄 PDF, DOCX, TXT parsing
- 🛡️ Admin panel with role-based access
- 📊 Evaluation pipeline (Cohere)
- 🐳 Docker-ready with DB migrations (Alembic)
Migration from v1
See BREAKING CHANGES in the PR description.
Full Changelog: v1.0.0...v2.0.0