The Inverted Index
Last updated
What is The Inverted Index?
The inverted index is a data structure that stores a mapping from content, such as words or numbers, to their locations in a document or a set of documents. Instead of listing documents and then the words they contain, an inverted index lists words and then the documents in which those words appear. This allows for very fast full-text searches.
Free resources to learn The Inverted Index
More in stage 7: Search Analyzer
- Search Analyzer
- Doc values
- fielddata
- The Analyze API
- Standard Analyzer
- Custom Analyzers
- Value Count
- Avg / Sum / Min / Max
- Cardinality
- Stats / Extended Stats
- Terms
- Range / Date Range
- Histogram
- Filter Aggregations
- Pivot
- Latest
- Transform API
- Nested Aggregations
- Pipeline Aggregations
- Understanding Similarity
- BM25 algorithm
- CAT API
- Segment Merging
- Cluster Monitoring
- Cross-cluster Replication
- Autoscaling
- Boosting Queries
- Function Score Query
- Match Phrase Query
- Synonyms Graph
- ILM
- Rollover Policies
- Data Tiers
- Vector Search
- Semantic Search
- Hybrid Search
- Snapshots & restore
- SLM
- Authentication
- Roles & Users
- API Keys
The Inverted Index: common questions
Can I learn The Inverted Index in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain The Inverted Index in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this The Inverted Index tutorial for beginners?
It is lesson 75 of 113 in the free Elasticsearch roadmap, in stage 7, Search Analyzer. If you are new to Elasticsearch, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.