About Operand AI

Operand AI offers a platform that focuses on embedding-based applications. It provides a fully managed, scalable, and serverless storage service that supports various models and facilitates automatic data ingestion. The platform is designed to help users store, search, and switch between embeddings effortlessly.

Features of Operand AI

  1. Embedding Storage and Search: Operand AI allows users to store and search embeddings at scale. It offers a fully managed, serverless, and scalable storage solution specifically designed for embeddings. The platform supports both filtered and unfiltered embedding retrieval and search.
  2. Performance and Efficiency: Built in-house using Zig, Operand AI ensures maximum performance and efficiency for its users.
  3. Model Flexibility: Users can seamlessly switch between different embedding models. Whether it’s a commercial or open-source model, Operand AI supports it. The platform also allows users to test different models on a subset of their data before making a full switch. Moreover, users can change embedding models without the need to rewrite code or experience any application downtime.
  4. Data Ingestion: Operand AI eliminates the need for complex data ingestion frameworks. It can automatically embed common file types such as text, images, audio, and video. The platform also supports syncing data from over 20 apps and external data sources. As new data is ingested, the search indexes are updated in real-time.

Additional Features

  • Real-time Search Index Updates: As new data is ingested into the system, Operand AI ensures that the search indexes are updated in real-time, providing users with the most up-to-date search results.
  • Support for Various File Types: Operand AI can automatically embed a variety of file types, including text, images, audio, and video, making it versatile for different data needs.
  • Data Sync from Multiple Sources: The platform can sync data from more than 20 supported apps and external data sources, ensuring a comprehensive data ingestion process.