What is CodableAI?
CodableAI is a leading managed vector database service that empowers your AI with advanced vector databases for document search, enhanced AI context, and more.
Features of CodableAI
Managed Vector Databases
Effortlessly create, manage, and interact with advanced vector databases tailored to your needs.
High-Performance Indexing
Build and utilize indexes that are optimized for fast and accurate vector searches.
Secure Data Handling
Enjoy peace of mind with comprehensive encryption for data at rest and in transit.
What Makes CodableAI Different?
Innovative CATCH with LVC Method
Our proprietary CATCH approach enhanced with the LVC method allows us to manage and recall the context of conversations, documents, and chat histories more effectively and efficiently than traditional AI models.
Enhanced Contextual Recall
By storing conversation fragments as vector embeddings, our system can efficiently retrieve contextually relevant parts of a conversation, document, or chat history based on semantic similarity.
Full Depth Contextual Search
Our approach preserves the value from full file embeddings paired with context segmentation embeddings, providing rich, relevant, and contentful data from vector searches.
Computational Efficiency
The CATCH approach balances computational efficiency with strong privacy norms, ensuring rapid processing and scalability.
Improved Privacy
By storing only vector representations and not the actual conversation, document, or chat history, we ensure that no sensitive or personally identifiable information is explicitly stored.
Real-time Adaptation
The LVC method adapts to the nature of the text, fine-tuning the mapping function periodically and dynamically adjusting the size and boundaries of text blocks.
Scalability
Our system is designed to scale with your needs, allowing you to handle growing volumes of data efficiently without compromising performance.
Pricing
Our pricing is designed to be flexible and scalable. You can choose from various plans that suit your needs, and easily upgrade or downgrade as required.
Frequently Asked Questions
What is a Compute Unit (CU)?
A Compute Unit (CU) is a measure of the compute capacity required to perform operations in the vector database.
How much do embeddings cost in terms of CUs?
The cost of embeddings in terms of CUs can vary based on the complexity and size of the data. On average, embedding operations may consume between 0.5 to 1 CU per request.
What is an index?
An index in our service is a managed vector database that includes all necessary resources for efficient data handling and searching.
How secure is my data with CodableAI?
Your data's security is our top priority. We use industry-leading encryption methods for data at rest and in transit, ensuring that your data remains secure and confidential at all times.
Can I scale my usage based on demand?
Yes, our service is designed to scale with your needs. You can easily upgrade or downgrade your plan based on your usage requirements, ensuring that you only pay for what you need.
What kind of support do you offer?
We offer comprehensive support to all our customers. Our support team is available 24/7 to help you with any issues or questions you may have.
How do I get started with CodableAI?
Getting started with CodableAI is easy. Simply sign up for an account, choose your plan, and create your first index. Our intuitive interface and detailed documentation will guide you through the process.