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Building Data-Driven Applications with LlamaIndex
book

Building Data-Driven Applications with LlamaIndex

by Andrei Gheorghiu
May 2024
Intermediate to advanced content levelIntermediate to advanced
368 pages
10h 7m
English
Packt Publishing
Content preview from Building Data-Driven Applications with LlamaIndex

4

Ingesting Data into Our RAG Workflow

We’ve taken a good look at the overall structure of LlamaIndex from afar. It’s now time to get much closer and understand the small details of this framework. It’s bound to get more technical but also more intriguing as we go further.

Ready to go deeper down the rabbit hole? Follow me!

In this chapter, we will learn about the following:

  • Using the LlamaHub connectors to ingest our data
  • Taking advantage of the many text-chunking tools in LlamaIndex
  • Infusing our nodes with metadata and relationships
  • Keeping our data private and our budget safe
  • Creating ingestion pipelines for better efficiency and lower costs

Technical requirements

You will need to install the following Python libraries in your environment ...

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Publisher Resources

ISBN: 9781835089507Supplemental Content