Our Mission
The world of AI is complex and evolves daily. Our goal is to be the most trusted, comprehensive, and accessible hub for everything related to Retrieval-Augmented Generation. We aim to empower builders and researchers by providing a curated platform of high-quality tools, in-depth tutorials, and the latest research, fostering innovation and responsible development.
What is RAG?
Retrieval-Augmented Generation (RAG) is a sophisticated AI architecture that enhances Large Language Models (LLMs) by connecting them to external knowledge bases. Instead of relying solely on its training data, a RAG system first retrieves relevant, up-to-date information from a specific data source (like a company's internal documents or a public database) and then uses that information to generate a more accurate, context-aware, and trustworthy response.
In simple terms, RAG helps AI:
- ✓Reduce hallucinations by grounding answers in factual data.
- ✓Access real-time information without constant model retraining.
- ✓Provide source-traceable answers, increasing transparency and trust.
What We Offer
Curated Tools
A handpicked directory of the best RAG and AI tools, from vector databases to evaluation frameworks.
Expert Guides
In-depth tutorials and articles covering everything from basic concepts to advanced techniques.
Latest Research
A collection of seminal papers and the latest research shaping the future of RAG.
Join Our Community
Whether you're building your first AI application or are a seasoned researcher, RAG Hub is your platform for growth and discovery. Explore our resources and contribute to the community.