Ground your large language models (LLMs) in real-time, proprietary data for more accurate and relevant responses. Master the skills to optimize your retrieval-augmented generation (RAG) workflows using MongoDB and Python.
This session will enable you to:
Master the foundational skills for RAG application architecture.
Optimize retrieval-augmented generation workflows for performance.
Ground LLMs effectively in your real-time, proprietary data for superior context.
The difference between a proof-of-concept and a production-ready AI application is RAG optimization. This session is your chance to learn from our expert presenters, with the full live Q&A included. Watch now to master the critical data strategies for RAG.
