Vector databases are essential for AI-driven applications, transforming complex data like words and images into numerical formats for semantic understanding. Traditional databases struggle with handling the multidimensional vectors generated by machine learning models, making specialized solutions like Meilisearch necessary. By enabling similarity searches based on distance measurements between vectors, Meilisearch enhances user experiences in various fields like face recognition, movie recommendations, and personalized content discovery. This open-source search engine not only supports vector search but also hybrid search, combining full-text and semantic search for more accurate and comprehensive results. Meilisearch facilitates tailored solutions and community interaction for developers and users alike.
https://blog.meilisearch.com/what-is-a-vector-database/