OpenSearch

1. Introduction

   What OpenSearch is and its components.

2. Core Concepts

   Clusters, nodes, indexes, shards and documents.

3. Ingesting Data

   Indexing documents and bulk ingestion.

4. Searching Data

   Search basics and relevance.

5. Mappings and Field Types

   Mapping and data types for fields.

6. Query DSL

   Full-text, term-level and compound queries.

7. Analyzers

   Tokenizers, filters and custom analyzers.

8. Aggregations

   Metric, bucket and pipeline aggregations.

9. Vector Search

   k-NN, neural and hybrid search.

10. Ingest Pipelines

    Processing documents on ingest.

11. Index Management

    Index templates, aliases, data streams and lifecycle.

12. Cluster Tuning

    Cluster formation, shard allocation and availability.

13. Security

    Authentication, role-based access control and encryption.

14. Snapshots and Backups

    Snapshot and restore.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.

Source: endoflife.date

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