Full-text search vs. semantic search: A full comparison

This post provides a detailed comparison between full-text search and semantic search, explaining their inner workings, use cases, advantages, and limitations. It elaborates on the technical aspects of each, including tokenization, inverted indexing, BM25 for full-text search, and embedding generation, vector indexing, and ANN for semantic search. It also touches upon Meilisearch's specific implementations like its bucket-ranking system for full-text search and its support for hybrid search combining BM25 with vector search using RRF.