Building a Production Open Source RAG Application Using LlamaIndex and Cassandra
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the process of building a production-ready open-source Retrieval Augmented Generation (RAG) application in this 31-minute sponsored session from the Linux Foundation. Learn how DataStax created a knowledge retrieval chatbot using LlamaIndex and Intercom, with insights from Patrick McFadin and Yi Ding. Discover how to adapt the open-source code for your specific needs, understand the motivations behind building a custom RAG pipeline, and gain valuable perspectives on the advantages and limitations of commercial RAG solutions. Gain insider knowledge on implementing RAG in real-world production environments and stay ahead in the rapidly evolving field of AI LLM applications.
Syllabus
Sponsored Session: Building a Production Open Source RAG Application us... Patrick McFadin & Yi Ding
Taught by
Linux Foundation
Tags
Related Courses
Pinecone Vercel Starter Template and RAG - Live Code Review Part 2Pinecone via YouTube Will LLMs Kill Search? The Future of Information Retrieval
Aleksa Gordić - The AI Epiphany via YouTube RAG But Better: Rerankers with Cohere AI - Improving Retrieval Pipelines
James Briggs via YouTube Advanced RAG - Contextual Compressors and Filters - Lecture 4
Sam Witteveen via YouTube LangChain Multi-Query Retriever for RAG - Advanced Technique for Broader Vector Space Search
James Briggs via YouTube