BY LUKA BUDIK
Advomate is an AI-powered legal assistant that helps lawyers draft documents, research case law, and manage client information. It leverages advanced LLM technology to automate legal processes and improve efficiency.
Creating an AI system for legal terminology with confidentiality requirements. Legal documents are complex, highly specialized, and contain sensitive information.
Custom LLM fine-tuned on legal documents with secure data pipeline. Implemented advanced RAG system for accurate retrieval of legal information.
70% reduction in document preparation time, 85% improved research accuracy. Over 300 clients including major companies like Škoda Auto and Skanska.
VSCode extension that provides intelligent code suggestions, refactoring, and documentation generation using LLMs. Enhances developer productivity by automating routine coding tasks and providing context-aware assistance.
Integrating LLMs with IDE workflows while maintaining performance and privacy. Balancing the need for powerful AI capabilities with local processing requirements.
Local model inference with context-aware code analysis and custom prompt engineering. Optimized for performance using ONNX runtime and efficient tokenization.
50,000+ downloads, 4.8/5 rating, featured in VSCode marketplace. Significant productivity improvements reported by users across various programming languages.
Open-source chatbot framework with multi-modal capabilities, RAG integration, and fine-tuning tools. Provides a flexible foundation for building advanced conversational AI applications with minimal setup.
Building a flexible framework that supports various LLMs and knowledge bases. Creating a system that can be easily extended and customized for different use cases.
Modular architecture with plugin system and adapter patterns for model/data source integration. Comprehensive API for extending functionality and integrating with existing systems.
2,500+ GitHub stars, adopted by 15+ companies for production use cases. Active community contributing extensions and improvements to the core framework.