Using Your Own Data with Large Language Models (LLMs) aka Making JohnBot!

In this video I walkthrough how to use your own data with Large Language Models (LLMs) like GPT by leveraging Azure AI Search and along the way I create JohnBot as a little example 🙂

Useful associated videos:

📽️ Generative AI overview – https://youtu.be/Ch6KE7KxHGM
📽️ RAG, embedding and more – https://youtu.be/orLGv2LgWDE

🔎 Looking for content on a particular topic? Search the channel. If I have something it will be there!

▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 – Introduction
00:26 – Why we need to use our own data
02:14 – Your source data
05:37 – Using Azure AI Search
08:19 – Integration and reading data
11:24 – Import and index
13:38 – What interval should be used?
16:18 – Viewing the index and indexer
18:11 – Chunking
24:51 – Other types of media beyond text
25:32 – IF YOU REMEMBER ONE THING 🙂
29:43 – Keyword search is still useful so we need hybrid
32:41 – BM25 searching
34:15 – Hybrid search with RRF
41:27 – Orchestrator component
43:30 – Using the Playground and key settings such as memory
44:20 – Adding my data source
47:05 – Performing an interaction backed by my data (RAG)
50:20 – The response and references
55:12 – Summary
56:55 – Close

▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Whiteboard:
🔗 https://github.com/johnthebrit/RandomStuff/raw/master/Whiteboards/JohnBot.png

▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
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