001. Chapter 1. Overview
002. Chapter 1. Search is the new normal
003. Chapter 1. Modern search engines
004. Chapter 1. Elasticsearch overview
005. Chapter 1. Popular adoption
006. Chapter 1. Generative AI and modern search
007. Chapter 1. Summary
008. Chapter 2. Getting started
009. Chapter 2. Retrieving data
010. Chapter 2. Full-text search
011. Chapter 2. Term-level queries
012. Chapter 2. Compound queries
013. Chapter 2. Aggregations
014. Chapter 2. Summary
015. Chapter 3. Architecture
016. Chapter 3. The building blocks
017. Chapter 3. Inverted indexes
018. Chapter 3. Relevancy
019. Chapter 3. Routing algorithm
020. Chapter 3. Scaling
021. Chapter 3. Summary
022. Chapter 4. Mapping
023. Chapter 4. Dynamic mapping
024. Chapter 4. Explicit mapping
025. Chapter 4. Data types
026. Chapter 4. Core data types
027. Chapter 4. Advanced data types
028. Chapter 4. Fields with multiple data types
029. Chapter 4. Summary
030. Chapter 5. Working with documents
031. Chapter 5. Retrieving documents
032. Chapter 5. Manipulating responses
033. Chapter 5. pdating documents
034. Chapter 5. Deleting documents
035. Chapter 5. Working with documents in bulk
036. Chapter 5. Reindexing documents
037. Chapter 5. Summary
038. Chapter 6. Indexing operations
039. Chapter 6. Creating indexes
040. Chapter 6. Reading indexes
041. Chapter 6. Deleting indexes
042. Chapter 6. Closing and opening indexes
043. Chapter 6. Index templates
044. Chapter 6. Monitoring and managing indexes
045. Chapter 6. Advanced operations
046. Chapter 6. Index lifecycle management (ILM)
047. Chapter 6. Summary
048. Chapter 7. Text analysis
049. Chapter 7. Analyzer modules
050. Chapter 7. Built-in analyzers
051. Chapter 7. Custom analyzers
052. Chapter 7. Specifying analyzers
053. Chapter 7. Character filters
054. Chapter 7. Tokenizers
055. Chapter 7. Token filters
056. Chapter 7. Summary
057. Chapter 8. Introducing search
058. Chapter 8. How does search work
059. Chapter 8. Movie sample data
060. Chapter 8. Search fundamentals
061. Chapter 8. Anatomy of a request and a response
062. Chapter 8. URI request searches
063. Chapter 8. Query DSL
064. Chapter 8. Search features
065. Chapter 8. Summary
066. Chapter 9. Term-level search
067. Chapter 9. The term query
068. Chapter 9. The terms query
069. Chapter 9. The ids query
070. Chapter 9. The exists query
071. Chapter 9. The range query
072. Chapter 9. The wildcard query
073. Chapter 9. The prefix query
074. Chapter 9. Fuzzy queries
075. Chapter 9. Summary
076. Chapter 10. Full-text searches
077. Chapter 10. Sample data
078. Chapter 10. The match all query
079. Chapter 10. The match none query
080. Chapter 10. The match query
081. Chapter 10. The match phrase query
082. Chapter 10. The match phrase prefix query
083. Chapter 10. The multi match query
084. Chapter 10. The query string query
085. Chapter 10. Fuzzy queries
086. Chapter 10. Simple string queries
087. Chapter 10. The simple query string query
088. Chapter 10. Summary
089. Chapter 11. Compound queries
090. Chapter 11. Compound queries
091. Chapter 11. The Boolean (bool) query
092. Chapter 11. Constant scores
093. Chapter 11. The boosting query
094. Chapter 11. The disjunction max (dis max) query
095. Chapter 11. The function score query
096. Chapter 11. Summary
097. Chapter 12. Advanced search
098. Chapter 12. Geospatial data types
099. Chapter 12. Geospatial queries
100. Chapter 12. The geo bounding box query
101. Chapter 12. The geo distance query
102. Chapter 12. The geo shape query
103. Chapter 12. The shape query
104. Chapter 12. The span query
105. Chapter 12. Specialized queries
106. Chapter 12. Summary
107. Chapter 13. Aggregations
108. Chapter 13. Metric aggregations
109. Chapter 13. Bucket aggregations
110. Chapter 13. Parent and sibling aggregations
111. Chapter 13. Pipeline aggregations
112. Chapter 13. Summary
113. Chapter 14. Administration
114. Chapter 14. Node communication
115. Chapter 14. Shard sizing
116. Chapter 14. Snapshots
117. Chapter 14. Advanced configurations
118. Chapter 14. Cluster masters
119. Chapter 14. Summary
120. Chapter 15. Performance and troubleshooting
121. Chapter 15. Index speed problems
122. Chapter 15. Unstable clusters
123. Chapter 15. Circuit breakers
124. Chapter 15. Final words
125. Chapter 15. Summary
126. Appendix B. Ingest pipelines
127. Appendix B. Mechanics of ingest pipelines
128. Appendix B. Loading PDFs into Elasticsearch
129. Appendix C. Clients
130. Appendix C. Background
131. Appendix C. MavenGradle project setup
132. Appendix C. Initialization
133. Appendix C. Namespace clients
134. Appendix C. Creating an index
135. Appendix C. Indexing documents
136. Appendix C. Searching
