Azure AI Search Best Practices

[@AIwithMahmudul]

Well, the title of the video is misleading. There is not much discussion about the best practices. It is an in-depth video of the AI Seach service and its SDK. Here are the timestamps of topics covered. Intro to topic and demo of vector search: 02:00 Example with index profile definition and searching: 18:00 Vector search strategies: 24:00 Hybrid search and semantic re-ranking: 26:30 AI Search indexing strategies: 33:00 Manual indexing/Bring your own embedding: 34:00 Integrated vectorization/Indexing docs in the cloud: 38:00 Skillsets for indexers: 49:00 Integrated vectorization RAG samples: 50:15 Advanced features: Analyzers, Scoring profiles: 58:00

[@PamelaFox]

Thanks for adding the timestamps! I'll re-title this session the next time we give it. In this case, I meant that hybrid search+ ranker is the best practice, and many devs are new to that, but there are certainly many more AI Search best practices that we don't cover.

[@bugexploit]

very well explained and detailed session. Thanks for sharing

[@denwo1982]

How do you know what to index? For example if I have uploaded a number files ranges from pdf, doc etc to use as my data for ai search to look at… then what am I indexing?

[@oliva8282]

Try preparing the files, separate every file by section. And then index with the different fields. I have done that adjustment of data with gpt or other LLM model.

[@taherehmazaheri1496]

can I have the not book please?

[@wasiffarooqui1026]

Wow mine favourite guide @pamela fox