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Data indexing techniques for quick retrieval include B-tree indexes for structured databases, enabling efficient range queries. Hash indexes accelerate exact-match searches, while inverted indexes (used in search engines) map terms to document locations. Columnar databases employ bitmap indexes for analytical queries. Distributed systems use sharding and partitioned indexes to scale horizontally. Modern tools like Elasticsearch leverage approximate nearest-neighbor (ANN) indexes for fast similarity searches in unstructured data, optimizing real-time applications.
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