Tag: search
Browse 5 practical software engineering resources tagged with "search". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving search. Each resource is written for engineers who ship real systems, with copy-paste examples and practical trade-offs.
Search Functionality
Search lets users find relevant content or data. It involves indexing, querying, ranking, and relevance.
The resources below cover full-text search, vector search, and search engines. Each guide helps you implement search that works.
Every resource includes clear explanations, copy-paste code, and practical warnings. Use them to make informed decisions, avoid production pitfalls, and speed up your delivery. If you are just getting started, read the beginner-friendly articles first; if you are experienced, jump straight to the advanced patterns and architecture guides. New resources are added regularly, so bookmark this page and check back for the latest patterns.
How to Use Elasticsearch Aggregations (With Examples)
Use Elasticsearch aggregations for faceted search, metrics, and time-series analytics. Step-by-step...
RAG Hybrid Search Pattern
Combine keyword (BM25) and semantic (vector) search to improve retrieval accuracy in RAG pipelines....
Full-Text Search — Implement Search That Actually Works
A practical guide to full-text search: PostgreSQL tsvector, Elasticsearch indexing, query design,...
Complete Guide to Elasticsearch Cluster Setup
Deploy and scale Elasticsearch clusters. Covers node roles, sharding, replicas, index templates,...
Vector Databases — AI/ML Embeddings and Similarity Search
A practical guide to vector databases: embeddings, similarity search, approximate nearest...