If you need a search engine with adjustable relevance and filtering, Meilisearch is a top contender. It's got search-as-you-type with results in under 50 milliseconds and supports a range of integrations including filters, language detection and custom relevance. Meilisearch also has good security controls and flexible pricing, so it's good for a broad range of platforms and use cases.
Another contender is Trieve. It's got more-advanced search abilities like full-text neural search, semantic vector search and hybrid search. Trieve also supports private managed embedding models and merchandising relevance tuning, so it's good for customers who need more-advanced search abilities. It also offers flexible hosting and different pricing tiers for different needs.
If you want a search engine that's scalable and personalized, Algolia is a good option. It combines AI-powered search with dynamic re-ranking and merchandising, and it's fast and easy to integrate with other systems. Algolia spans many industries and use cases, and its pricing tiers are flexible enough to accommodate startups and enterprises.
Last is Pinecone, a vector database designed for fast querying and retrieval. It supports low-latency vector search, metadata filtering and real-time updates, and its scalable and secure architecture. Pinecone's hybrid search combines vector search with keyword boosting for high recall and fast query latency, so it's good for large-scale search.