Large Language Models are great at handling general questions, but what if you need them to understand and answer queries specific to your organization’s unique data? This workshop is your answer. Explore the foundational concepts of retrieval-augmented generation (RAG). Get hands-on experience building an end-to-end, RAG-based chatbot using MongoDB Atlas and open-source LLMs.
Here’s what you’ll walk away with:
- Learn the foundations of retrieval-augmented generation (RAG), including chunking, embedding, and semantic search.
- Build a RAG system from the ground up using MongoDB Atlas and open-source LLMs.
- Discover how to use MongoDB as a unified operational and vector store, plus a memory provider for your RAG applications.
At the end of the workshop, you can check your learning and earn an exclusive skill badge to showcase your new expertise to your network!
In today’s rapidly evolving, data-driven world, knowing how to build AI-powered applications isn't just an advantage, it's a necessity. Elevate your skills and build the intelligent solutions of tomorrow.
