If you're looking for a Meilisearch alternative, Algolia is a top contender. It's a powerful AI-powered search infrastructure geared for businesses and developers. With features like AI search, dynamic re-ranking, and personalization, it can handle a broad range of use cases including enterprise search, headless commerce and mobile app search. Its tiered pricing and abundant documentation make it relatively easy for developers to get up and running.
Another top contender is Vespa, which offers a single search engine and vector database. Its fast vector search and filtering abilities make it a good choice for high-scale search. It integrates with a variety of machine learning tools and has auto-elastic data management, which means it can perform well and respond with low latency. The service is free to try, so developers can easily get started and test AI-powered search.
If you need more advanced search abilities, Trieve offers a full-stack infrastructure with private managed embedding models and semantic vector search. It's useful for use cases that need date recency biasing and re-ranker models. Trieve offers multiple pricing tiers and hosting options, so you can pick the best combination for your needs and budget. Its AI-powered search and RAG abilities mean it can handle more complex search use cases.
Last, OpenSearch is a flexible and scalable open-source option that supports a lot of features, including geospatial indexing, k-NN/vector database support and anomaly detection. It runs on a variety of infrastructure and is a good foundation for high-performance search. With its community-driven approach and plugins, OpenSearch can help you build customizable and secure search applications for your domain.