Series
RAG Time: AI Learning
RAG Time is an AI learning series focused on Retrieval-Augmented Generation (RAG) and advanced retrieval techniques. Each session features expert-led discussions, exclusive leadership interviews, and demos, while guiding developers to hands-o...
RAG Time is an AI learning series focused on Retrieval-Augmented Generation (RAG) and advanced retrieval techniques. Each session features expert-led discussions, exclusive leadership interviews, and demos, while guiding developers to hands-on samples and more learning resources in the RAG Time GitHub repository for practical implementation. Topics cover indexing fundamentals, vector search, hybrid search, multimodal retrieval, and optimization strategies, with real.
Recommended resources
Presenters
- Ayca Bas
- Farzad Sunavala
- Marco Casalaina
- Todd Anglin
- Nitya Narasimham