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What is Momento Vector Index?

Momento Vector Index (MVI) is a scalable, developer-friendly vector index service designed for real-time storage and retrieval of vector data for use in AI-powered applications.

Main image about vector index service.

MVI's serverless and API-driven approach to vector indexes aligns with modern development needs, providing compute resources as required without the burden of infrastructure or maintenance. The combination of simple self-service and consumption-based pricing reflects an intentional design that considers both initial development and future scaling. It's a solution that offers flexibility and convenience for developers at various stages of the development lifecycle.

What is MVI’s role in your application?​

Build with Momento Vector Indexes with use cases such as:

MVI improves your search features by understanding context and meaning. By using vector indexing, your application delivers more relevant and nuanced search results. This feature shines in areas like e-commerce, personalized recommendations, fraud detection, and information retrieval.

MVI also supports multimodal search, letting users search across different types of data such as text, images, videos, and audio. Users can start a search in one modality and target any other, creating a flexible and comprehensive search experience.

Additional applications​

While semantic and multimodal search are the main uses, MVI can be valuable for sentiment analysis, specifically in assessing user feelings toward a business across multiple dimensions. By identifying emotional patterns in customer reviews, social media mentions, or survey responses, MVI helps you gain a multi-faceted understanding of customer sentiment. This can inform business strategies, customer engagement, and service improvements.

Why is it called a vector index, not a vector database?​

A vector index excels in specialized tasks, offering rapid and efficient search capabilities using vectors and metadata. Unlike a general-purpose database, which is designed for a wide range of tasks including complex queries, joins, and transactions, our vector index is streamlined for performance. It's not only fast and cost-effective but also lean, allowing for easy integration into both early-stage development and production environments. Additionally, you can store and filter through arbitrary metadata, like the original text and images, making it even more useful.