Chunking Data for RAG Applications
Learn about how to transform your data for retrieval-augmented generation (RAG) applications using different chunking strategies.
Overview
In this Learning Byte, a MongoDB expert will introduce you to some basic chunking strategies, so you get the most out of retrieval augmented generation (RAG) applications.
You’ll learn the importance of chunking in the context of the data ingestion pipeline and dive into different chunking strategies including recursive splitting, document-specific splitting, and semantic splitting. Along the way, we'll discuss how to fine-tune different chunking strategies and the use cases for the different strategies.
Chapters
- Intro
- What is chunking?
- Why do we chunk?
- Chunking strategies
- Recursive splitting
- Document specific splitting
- Semantic splitting
- Summary
