A Simple Guide to Retrieval Augmented Generation
A Simple Guide to Retrieval Augmented Generation
Author: Abhinav Kimothi
Narrator: n/a
English | 2025 | ISBN: 9781633435858 | MP3@64 kbps | Duration: 7h | 554 MB
Author: Abhinav Kimothi
Narrator: n/a
English | 2025 | ISBN: 9781633435858 | MP3@64 kbps | Duration: 7h | 554 MB
Retrieval Augmented Generation—or RAG—enhances an LLM’s available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it’s also easy to understand and implement!
In A Simple Guide to Retrieval Augmented Generation you’ll learn:
The components of a RAG system
How to create a RAG knowledge base
The indexing and generation pipeline
Evaluating a RAG system
Advanced RAG strategies
RAG tools, technologies, and frameworks
A Simple Guide to Retrieval Augmented Generation gives an easy, yet comprehensive, introduction to RAG for AI beginners. You’ll go from basic RAG that uses indexing and generation pipelines, to modular RAG and multimodal data from images, spreadsheets, and more.