The following resources are intended for a presenter to learn and deliver the session.
We're glad you are here and look forward to your delivery of this amazing content. As an experienced presenter, we know you know HOW to present so this guide will focus on WHAT you need to present. It will provide you a full run-through of the presentation created by the presentation design team.
Along with the video of the presentation, this document will link to all the assets you need to successfully present including PowerPoint slides and demo instructions & code.
Download the English version of the Powerpoint Presentation from aka.ms/AArxlgn. Localized versions will be available soon.
Speaker notes are available on each slide.
| Segment | Time |
|---|---|
| Introduction | 10:00 |
| Vectors 101 | 08:00 |
| Azure AI Search | 17:00 |
| Data preparation | 04:00 |
| Evaluation | 03:00 |
| Securing your RAG | 02:00 |
| Conclusion | 01:00 |
These are the demos that you may choose to do in the presentation. You may leave some out depending on time constraints.
To be able to show the demos yourself, setup these three repositories:
- RAG on PostgreSQL: Follow instructions in rag-postgres-openai-python
- RAG on AI Search: Follow deployment instructions in azure-search-openai-demo, making sure to enable the optional vision feature
- Python Notebooks: Follow instructions in rag-with-azure-ai-search-notebooks. Note that this repo assumes you've already setup azure-search-openai-demo.
A suggested transcript for each is available.
If you'd like, there are videos available for each demo. You can either narrate the silent version of the video, or play the video with audio.
| Demo | Duration | Video - Silent | Video - Audio |
|---|---|---|---|
| 1 - RAG on PostgreSQL | 0:44 | aka.ms/AArvkvt | aka.ms/AArvskt |
| 2 - Advanced RAG on PostgreSQL | 1:51 | aka.ms/AArw0cc | aka.ms/AArvskq |
| 3 - RAG on AI Search | 0:28 | aka.ms/AArvskv | aka.ms/AArvsl1 |
| 4 - Vector Embeddings Notebook- Computing | 1:10 | aka.ms/AArvsl4 | aka.ms/AArvkvx |
| 5 - Vector Embeddings Notebook- Similarity | 1:21 | aka.ms/AArvsl8 | aka.ms/AArvskf |
| 6 - Vector Embeddings Notebook - Search | 1:03 | aka.ms/AArvkvy | aka.ms/AArvkv5 |
| 7 - Azure AI Search Notebook | 3:08 | aka.ms/AArvskg | aka.ms/AArxdsj |
| 8 - Image Search Notebook | 3:18 | aka.ms/AArvskp | aka.ms/AArw0c9 |
| 9 - RAG with Images | 1:00 | aka.ms/AArvkvr | aka.ms/AArvsky |
| 10 - Search Relevance Notebook | 2:59 | aka.ms/AArvkvm | aka.ms/AArvkvo |
If you do not have enough time for all demos, we suggest first cutting demos #8 - #10, with a preference for only cutting #10.