Meilisearch Introduces Vector Storage for Empowered AI-Powered Search

Meilisearch releases vector storage to enable fast and relevant search through AI

Vector search allows efficient retrieval of objects with similar characteristics using embedding vectors

Use cases of vector search include offering recommendations, building multi-modal search, and creating Q&A applications

Meilisearch now supports vector store experimental feature for storing vector embeddings alongside documents

Long-term goal is to provide hybrid search combining full-text and semantic search for the most relevant search experience