Question: I'm looking for an open-source search engine that's fast, scalable, and has a strong community of developers behind it.

If you're looking for a fast, scalable, community-backed open-source search engine, Meilisearch is a good option. It returns search results in under 50 milliseconds and supports integrations like filters, language detection and custom relevance. It's easy to install and has good security options, too, making it a good fit for websites and apps that need top performance and reliability.

Another good option is OpenSearch, a flexible and scalable option for data-heavy applications. It offers features like geospatial indexing, SQL/PPL support and anomaly detection. OpenSearch is fully open-source and can run on many different platforms, so it's a good option for enterprise environments. The community-run project offers a wealth of tools and plugins for search, analytics and observability, and it's designed for high availability and customization.

For AI-powered search, Algolia offers a powerful foundation for personalized search. It combines keyword search with vector understanding and dynamic re-ranking based on user behavior. Algolia offers fast and scalable integration for several industries, including e-commerce and mobile apps. Its detailed documentation and flexible pricing means it's a good option for startups and enterprises.

Last, Qdrant offers a scalable vector database and search engine for high-dimensional vectors. It's designed for cloud-native architecture, which means it's designed for high availability and easy deployment. It's good for use cases like advanced search and recommendation systems, and it offers flexible deployment options, too, making it a good option for developers who need serious search power.