Posts tagged with #search

#postgres#search#database#rails#ruby

Postgres Full-Text Search vs. Embeddings: A Practical Guide

Most teams reach for embeddings before they need them, wiring up pgvector when Postgres’s full-text search would have done the job. If your users are just looking for “caching” and expect to find “Rails caching strategies,” full-text search is fast, precise, and already built in. Where embeddings shine is when meaning matters more than exact words, like an e-commerce query for “summer outfit” that should return linen shirts and beach dresses. The key isn’t choosing one tool over the other, but knowing when Postgres alone is enough and when a hybrid approach gives you the semantic nuance users actually need.
#ruby#rails#performance#algorithms#search

Autocomplete at Scale - How Tries and Partitioning Can Unlock Blazing-Fast Search in Ruby on Rails

Scalable autocomplete functionality achieving sub-millisecond response times with millions of records employs trie data structures and advanced partitioning strategies in Ruby on Rails. Performance optimization techniques include memory management, database partitioning patterns, and efficient prefix-based search algorithms.
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