Meilisearch
Open-source search engine with hybrid and vector search
Meilisearch focuses on delivering relevant results quickly with little configuration. Developers send their documents to it through a simple API, and it returns ranked results as the user types, with typo tolerance, synonyms, filtering, and sorting working out of the box. That makes it popular for adding search to a store or a knowledge base.
Newer features address AI. Hybrid search combines keyword matching with vector similarity, so a query can find results by meaning as well as exact words, and it can connect to embedding models. Teams can host Meilisearch themselves, since it is open source, or use the company’s managed cloud.
Meilisearch is free to self-host, with paid cloud plans scaled by usage. It is built for application search, not for web-scale indexing, and very large or complex deployments may need other tools. Alternatives include Algolia, Typesense, Elasticsearch, OpenSearch, and Pinecone for vector search. Meilisearch suits developers who want fast, friendly search without heavy infrastructure.