CodableAI - Managed Vector Database

Empowering Your AI with Advanced Vector Databases

Welcome to CodableAI, where we revolutionize the way you handle and search your data. Our managed vector database service provides robust solutions for document search, enhanced AI context, and more.

Get Started

Advanced Features, Designed to Empower Your AI

shape shape

Managed Vector Databases

Effortlessly create, manage, and interact with advanced vector databases tailored to your needs.

Learn More
shape shape

High-Performance Indexing

Build and utilize indexes that are optimized for fast and accurate vector searches.

Learn More
shape shape

Secure Data Handling

Enjoy peace of mind with comprehensive encryption for data at rest and in transit.

Learn More

About CodableAI

At CodableAI, we specialize in AI-driven data solutions, enabling businesses to leverage the power of vector databases without the complexities of database management. Our mission is to provide secure, scalable, and efficient services that enhance your AI capabilities.

Learn More

What Makes CodableAI Different?

Innovative CATCH with LVC Method

At CodableAI, we leverage our proprietary CATCH (Contextual Association Through Conversational Hypervectors) approach enhanced with the LVC (Linked Vector Context) method. This cutting-edge technology allows us to manage and recall the context of conversations, documents, and chat histories more effectively and efficiently than traditional AI models.

The CATCH with LVC method transforms significant parts of conversations, documents, or long text sequences into high-dimensional vector embeddings. These embeddings encapsulate the semantic essence of the text, which are then stored in a vector database that excels in querying data based on similarity.

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.


Our system is designed to scale with your needs, allowing you to handle growing volumes of data efficiently without compromising performance.

Frequently Asked Questions about Our Service

A Compute Unit (CU) is a measure of the compute capacity required to perform operations in the vector database. It encompasses various resources such as CPU, memory, and I/O operations, providing a comprehensive way to quantify the workload.
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. For specific rates, please refer to our detailed pricing documentation or contact our support team.
An index in our service is a managed vector database that includes all necessary resources for efficient data handling and searching. It allows you to store and retrieve data vectors quickly and accurately.
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.
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.
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. You can reach out to us via email, phone, or live chat.
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.