Introduction to Retrieval Augmented Generation (RAG) and Implementing with Databricks

Explore the essentials of Retrieval Augmented Generation (RAG) and its implementation via Databricks in this session. Learn why RAG is a game-changer in AI, enhancing applications by integrating external knowledge sources for improved context and accuracy. Discover the key components, advantages, and practical steps for applying RAG to your AI projects. Through a blend of theory and demonstrations, gain actionable insights to elevate your AI solutions with Databricks, making them more intelligent and responsive.   Join this session to gain: A deep understanding of RAG principles and their application benefits. How to Enhance AI with external knowledge via vector search. Practical insights into the implementation of RAG with Databricks. Strategies for leveraging external knowledge sources to enhance AI applications. Talk By: Ina Koleva, Staff Product Manager, Databricks Here's more to explore: LLM Compact Guide: https://dbricks.co/43WuQyb Big Book of MLOps: https://dbricks.co/3r0Pqiz Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data… Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc