A Deep Dive Into Retrieval-Augmented Generation with LlamaIndex
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the fundamentals and advanced techniques of Retrieval-Augmented Generation (RAG) using LlamaIndex in this informative 25-minute conference talk. Learn how to leverage this powerful Python and JavaScript framework to load data from various sources, create semantic indexes, and harness the capabilities of Large Language Models (LLMs) for diverse applications. Discover methods for answering questions about your data, extracting valuable insights from knowledge bases, and bringing structure to unstructured information. From basic principles to sophisticated RAG strategies, gain a comprehensive understanding of LlamaIndex's potential to enhance your data processing and analysis workflows.
Syllabus
A Deep Dive Into Retrieval-Augmented Generation with LlamaIndex - Laurie Voss, LlamaIndex
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