If you want a platform that lets you customize search results and ranking, Trieve is a top contender. It includes advanced search features like semantic vector search, hybrid search and private managed embedding models. You can customize ranking and relevance tools to your needs, and it supports merchandising relevance tuning. On top of that, it offers a range of hosting choices, including a free tier for noncommercial use.
Another strong contender is Algolia, an AI-powered search infrastructure geared for businesses and developers. It marries keyword search with vector understanding and offers dynamic re-ranking based on user behavior. Algolia covers a range of industries and use cases, including e-commerce, mobile and voice search, and offers flexible pricing and abundant documentation.
Zevi is another option. It's built into popular content management systems and e-commerce sites like Shopify. It uses AI technology called neural search and offers personalized shopping experiences based on real-time analytics. It includes customizable product rankings and filtering, and it's a powerful option for improving user engagement and conversion.
If you're looking for an open-source option that's flexible, OpenSearch is a good choice. It supports geospatial indexing, SQL/PPL, and other search features, so it's good for document collections and e-commerce sites. OpenSearch runs on a variety of infrastructure and has a wide range of community-developed tools and plugins, so you can expect high performance and customization.