Tag: vector-search

Browse 3 practical software engineering resources tagged with "vector-search". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving vector-search.

Embedding Cache Pattern

Cache LLM embeddings to reduce API calls and cost. Store embeddings with a content hash key and serve from cache on repeated inputs.

embedding-cache pattern ai-pattern cost-optimization

RAG Hybrid Search Pattern

Combine keyword (BM25) and semantic (vector) search to improve retrieval accuracy in RAG pipelines. Fuse ranked results using reciprocal rank fusion.

rag hybrid-search pattern ai-pattern

Complete Guide to RAG in Production

Build production RAG systems. Covers chunking strategies, embedding models, vector stores, retrieval optimization, reranking, hybrid search, evaluation, and deployment patterns for reliable retrieval-augmented generation.

rag ai guide embeddings