Parsing, Text Chunking and Indexing (Ex. 1): Fast Start to RAG (2024 update)

Complete your first example using RAG!

Create your first library for Retrieval Augmented Generation and get started by learning the first basic steps of parsing, text chunking and indexing documents in this easy-to-follow tutorial.

Example 1 of 6 Examples – please follow along with the rest of the examples so you can become familiar with all of the basic components of RAG in our detailed but simple tutorials!

Prerequisite: Python, AI-Beginner Friendly

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[williamsokol]

What is the IDE used to look at your python code? I am not sure what is good for working with LLM

[sunray]

can it accept csv with timeseries data for example?

[dfparker]

Hi

May I ask your guidance on this error:
Error: LLMWareConfig' object has no attribute 'set_active_db'
Problem here:

Predicates
Watched "Fast Start to RAG (updated for 2024) – Intro" and have tried other examples successfully.
Environment
4 socket, 40 threads
128GB
pip 23.3.2 + usual ml libs
installed sqlite @ host
Ubuntu 22.04