RAG Pipelines with Real-Time Data
Registration
Past Event
About Event
What will you learn?
We will discuss the value of RAG architecture at a high level and dive into an example that we can demo. The idea is to first demo without context, giving horrible results. Then we will walk through the steps of building a RAG pipeline that we can use to generate better data.
Topics covered:
Why you should use RAG Pipeline for LLM Apps
How RAG reduces hallucinations
What Milvus and Cloudera offer to support RAG
Building a RAG Application with Cloudera and Milvus
Deep Dive on Example (Chat bot use case)
Demo- building a RAG pipeline to capture contextual data and update in near-real time
Review
Speakers: Chris Joynt, Senior PMM, Cloudera & Chris Burns, Principal Generative AI Engineer, Cloudera