1.1 Searching for User Intent
1.1.1 Search Engines
1.1.2 Recommendations Engines
1.1.4 Semantic Search and Knowledge Graphs
1.1.5 Understanding the Dimensions of User Intent
1.2 Key Technologies for AI-powered search
1.2.1 Apache Lucene: the core search library powering Apache Solr and Elasticsearch
1.2.3 Elasticsearch: the most used, anaytics-focused, full text search engine
1.2.4 Lucidworks Fusion: the out-of-the-box AI-powered search Engine
1.2.5 Apache Spark: the standard for large-scale data processing
1.2.6 Strategy for this book
1.3 Target Audience for AI-Powered Search
1.3.1 Targeted Skillsets and Occupations
1.3.2 System Requirements for Running Code Examples
1.4 When to consider AI-powered search
1.5 How does AI-powered search work?
1.5.1 The Core Search Foundation
1.5.2 Reflected Intelligence through Feedback Loops
1.5.3 Curated vs. Black-box AI
1.5.4 Architecture for an AI-powered search engine
1.6 Summary