Carbon

About the application Carbon

Carbon is a revolutionary tool designed to streamline the process of accessing unstructured data from any source. It serves as a universal retrieval engine for Language Models (LLMs), providing a seamless and efficient solution for integrating Retrieval Augmented Generation to any AI application.

Background and Development

Carbon was developed with the aim of simplifying the process of connecting external data to LLMs, regardless of the source. The team behind Carbon has been instrumental in developing new features, APIs, and UX improvements to better meet the needs of customers.

Core Features and Capabilities

Carbon offers over 25 data connectors, allowing user data to be streamed from any source to any destination. It also provides AI-ready data processing that chunks, embeds, and cleans for optimal results. Carbon ensures maximum security with credentials and content encrypted at rest and in transit.

User Experience

Users have praised Carbon for its significant improvement on upload speed and robustness. The team at Carbon has been recognized for their world-class service, helping users with integration questions and incorporating feedback immediately.

Applications and Use Cases

Carbon has been used by various companies to build powerful Generative AI features. It has also been used to integrate multiple file formats and data sources, such as Google Drive, Dropbox, OneDrive, and Box.

Impact and Future Outlook

Carbon has made a significant impact on its users and the industry, saving time and money by leveraging its capabilities instead of developing each in-house. The future of Carbon looks promising as it continues to evolve and improve to meet the needs of its users.