Como construir um sistema RAG usando o modelo aberto Gemma do Google
73 min • Publicado em 11 de março 2024
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✅ 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