Carbon

What is Carbon?

Carbon is a versatile tool designed as a universal retrieval engine for Large Language Models (LLMs) to access unstructured data from various sources. It offers a wide range of features, including over 25 data connectors for seamless data streaming, custom sync schedules, data cleaning, chunking, and vectorization for optimal performance with LLMs. One notable aspect of Carbon is its focus on security, with credentials and content encrypted at rest and in transit, and a commitment to never train models on customer data. Additionally, Carbon is fully SOC 2 Type II compliant, ensuring high-level security standards. The tool also provides enterprise-level services such as white labeling, high availability guarantees, auto-scaling, 24/7 support, and managed OAuth for third-party services. Moreover, Carbon offers different pricing plans to cater to various user needs, ranging from a Pay As You Go starter plan to custom plans for personalized AI agents at scale.

Overall, Carbon stands out as a time-saving solution for integrating Retrieval Augmented Generation into AI applications, offering a user-friendly experience with a focus on security and customizable features to meet diverse user requirements.

Who created Carbon?

Carbon was created by JCDT DBA Carbon. It offers a universal retrieval engine for LLMs to access unstructured data from any source. The company focuses on providing various features such as seamless data streaming, custom sync schedules, robust security measures including encryption, and SOC 2 compliance. Carbon also offers white label options, high availability guarantees, auto-scaling features, and 24/7 support. The company caters to different pricing tiers to suit various needs and provides services for content management and retrieval. Overall, Carbon aims to streamline AI integration processes and enhance data management for its users.

What is Carbon used for?

• Retrieve documents with relevant metadata from any data source
• Stream user data from any source to any destination
• Set custom sync schedules for connected data sources
• Clean, chunk, and vectorize content for optimal performance with LLMs
• Built-in enterprise-grade semantic and keyword search for data
• Index content effectively using multiple embedding models and chunking strategies
• Track usage by user directly via API
• Bring own branding to use with Carbon
• Manage OAuth for third-party services
• Personalize AI agents at scale

How to use Carbon?

To use Carbon effectively, follow these steps:

1. Access Data from Any Source:

   • Utilize Carbon's 25+ data connectors to seamlessly retrieve data from various sources.

2. Custom Sync Schedules:

   • Set up personalized sync schedules for each connected data source to keep information updated.

3. Content Optimization:

   • Clean, chunk, and vectorize content for optimal performance with language models, ensuring efficient processing.

4. Security Measures:

   • Benefit from encryption of credentials and content at rest and in transit, maximizing security.

5. Privacy Assurance:

   • Rest assured that Carbon never trains models using customer data, maintaining data privacy.

6. Compliance Standards:

   • Enjoy the peace of mind of knowing that Carbon is fully SOC 2 Type II compliant, meeting industry standards.

7. White Labeling:

   • Customize Carbon with your branding for a personalized experience.

8. Service Level Agreements (SLAs):

   • Receive enterprise-level availability guarantees with a 99.95% SLA.

9. Scalability and Support:

   • Benefit from auto-scaling based on demand, 24/7 white glove service from engineers via Slack, and managed OAuth for third-party services.

10. Usage Tracking:

    • Monitor user usage directly through the API and track it effectively.

11. Pricing Options:

    • Choose from Starter (pay-as-you-go), Professional ($85/mo), and Custom plans, tailored to your needs.

12. Document Management:

    • Simplify content management across all sources with unified API and receive notifications for content changes.

By following these steps, you can leverage Carbon's features to streamline data access, ensure security, and optimize performance for your AI applications.