Learn how to build a robust retrieval system using semantic, full-text, and fuzzy search techniques in Postgres. This guide covers setting up a search engine as a backbone for RAG pipelines, implementing full-text search with tsvector, semantic search with pgvector, and fuzzy matching with pg_trgm. Additionally, it provides
Table of contents
Table with four legsImplementing fuzzy searchDebugging the rankingsTuning full text searchReranking with cross-encoderBoosting results to improve UXWhen should I look for alternative solutions?Bonus: adding BM25ConclusionSort: