CodableAI is a leading managed vector database service that revolutionizes how users handle and search their data by providing robust solutions for document search and enhanced AI context. It specializes in AI-driven data solutions, enabling businesses to leverage vector databases without the complexities of management. The innovative CATCH (Contextual Association Through Conversational Hypervectors) approach, combined with the LVC (Linked Vector Context) method, enhances the management and recall of conversations and documents by transforming them into high-dimensional vector embeddings. Features include high-performance indexing, secure data handling with encryption, enhanced contextual recall, full depth contextual search, computational efficiency, improved privacy, real-time adaptation, and scalability to meet growing data needs.
• secure data handling
• managed vector databases
• full depth contextual search
• enhanced contextual recall
• high-performance indexing
A Compute Unit (CU) measures compute capacity required for operations in the vector database, including CPU, memory, and I/O.
Embedding operations typically consume 0.5 to 1 CU per request, depending on complexity and size.
An index is a managed vector database containing resources for efficient data handling and searching.
Data security is prioritized with industry-leading encryption methods for data at rest and in transit.
Yes, the service is designed to scale easily according to your usage requirements.
Comprehensive support is available 24/7 via email, phone, or live chat.
Simply sign up for an account, choose a plan, and create your first index using the intuitive interface.
• Managed Vector Databases
• High-Performance Indexing
• Secure Data Handling
• All Standard Features
• Enhanced Contextual Recall
• Full Depth Contextual Search
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