Azure AI Search: Technical Handbook
intermediate

Azure AI Search: Technical Handbook

Building Intelligent Search Experiences at Scale

20 chapters14h
0 of 20 chapters0%

Master Azure AI Search with this complete technical guide covering indexing, cognitive search, vector search, and enterprise search architecture.

Chapters

2

Provisioning and Service Tiers

12 min read

3

Designing Your First Index

20 min read

4

Data Sources and Indexers

18 min read

5

Implementing Full-Text Search

22 min read

6

Advanced Analyzer Configurations

25 min read

7

Introduction to Cognitive Search

20 min read

8

Enrichment Pipelines and Skillsets

25 min read

9

Custom Skills and External Integration

25 min read

10

Vector Search Fundamentals

20 min read

11

Embeddings and Semantic Models

22 min read

12

Hybrid Search Architectures

25 min read

13

Security and Identity Management

18 min read

14

Scalability and Performance Tuning

20 min read

15

Query Syntax and Advanced Filtering

20 min read

16

Monitoring and Logging with Azure Monitor

15 min read

17

Integrating with Azure OpenAI (RAG)

25 min read

18

Automating Deployments with IaC

20 min read

19

Troubleshooting Common Search Issues

15 min read

20

Career Roadmap and Next Steps in AI

10 min read