Tag: retrieval
Browse 3 practical software engineering resources tagged with "retrieval". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving retrieval. Each resource is written for engineers who ship real systems, with copy-paste examples and practical trade-offs.
Information Retrieval
Retrieval is the process of finding relevant information from a collection. It underpins search, RAG, and recommendation systems.
The resources below cover indexing, ranking, vector search, and retrieval metrics. Each guide helps you build systems that find the right information.
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.
RAG Hybrid Search Pattern
Combine keyword (BM25) and semantic (vector) search to improve retrieval accuracy in RAG pipelines....
AI RAG Evaluation Checklist
A checklist for evaluating RAG system quality: retrieval accuracy, generation faithfulness, context...
Complete Guide to RAG in Production
Build production RAG systems. Covers chunking strategies, embedding models, vector stores,...