This talk will go over a real-life example/demo of how to keep the vector DB up to date using streaming pipelines, importance of RAGs and how they can be used to eliminate hallucinations, which can have a huge catastrophic impact on the outputs of LLMs. It would be a great session for data and machine learning engineers would want to learn through a deep dive session on how to fine tune LLMs using open source libraries.