If you want a search engine that offers immediate results and is relatively easy to embed into your website or app, Meilisearch is a good choice. It's an open-source search engine that offers fast, relevant results and supports search-as-you-type and can be embedded with relatively minimal setup. Meilisearch offers a range of integrations, including filters, language detection and custom relevance. It's got good security options and an easy-to-understand API, and it's adaptable and scalable for sites and apps on various platforms.
Another top contender is Algolia, which offers AI-powered search infrastructure designed to personalize search results. It's relatively easy to get up and running and offers tools for fast and scalable search, including dynamic re-ranking, AI synonyms and merchandising. Algolia is good for a range of industries and use cases, including enterprise search, headless commerce and mobile app search. Its pricing is flexible, including a Pay-As-You-Go option, so it can accommodate different budgets.
For a more sophisticated option, take a look at Exa, which uses transformer-based models to offer search results that are more contextually relevant. It accepts natural language search queries and can process thousands of results at a time. Exa is designed to be used with Large Language Models and offers tiered pricing, including a free tier for light usage. It indexes its data frequently and is geared for high-quality web content.
Last is Vespa, a unified search engine and vector database that can perform fast vector search, lexical search and search on structured data. It lets developers build scalable search applications using machine-learned models. With features like auto-elastic data management and low latency, Vespa is good for search, recommendation and personalization applications, and it offers free usage to get you started.