How To Build A RAG System using Google's Gemma Open Model
73 min • Published Mar 11, 2024
Rate this video
✅ Atlas Vector Search - https://mdb.link/5xET6BG0OzA-atlas
✅ Use case - https://mdb.link/5xET6BG0OzA-use-case
-
Join Shane McAllister and Richmond Alake for an exciting livestream exploring how to leverage Gemma, Google's newly announced family of lightweight, state-of-the-art open models, as the foundation model in a retrieval-augmented generation (RAG) pipeline or system, with supporting large embedding models from Hugging Face and utilizing MongoDB as the vector database. Discover how Gemma simplifies complex information retrieval tasks, enhances question answering systems, and empowers developers to create more intelligent applications effortlessly. Get ready to dive into the future of NLP with Gemma on MongoDB Atlas!
-
✅ Blog post - https://mdb.link/5xET6BG0OzA-blog