Carbon Universal Retrieval Engine for LLMs

What is Carbon?

Carbon offers a comprehensive solution for connecting Large Language Models (LLMs) to external, unstructured data sources. It acts as a universal retrieval engine, streamlining the process of ingesting and processing data from various platforms. With over 25 data connectors, Carbon allows developers to seamlessly connect to various sources and load unstructured information.

The platform handles critical tasks like data parsing, chunking, embedding, and cleaning, ensuring optimal performance with LLMs. Security is paramount, with encryption at rest and in transit, SOC 2 Type II compliance, and a commitment to never train models on customer data.

Features

Ingest: Over 25 data connectors to stream user data from any source.
Process: Built-in parsing of 20+ file formats.
AI-Ready Data Processing: Chunks, embeds, and cleans data for optimal LLM performance.
Security: Credentials and content encrypted at rest and in transit.
Scalability: LLM model-agnostic data pipeline scales with application needs.
SOC 2 Compliance: Fully SOC 2 Type II compliant.
White Label: Branding customization options.
Hybrid Search: Enterprise-grade semantic and keyword search.
Embedding Generation: Multiple embedding models and chunking strategies.

Use Cases

Building Retrieval Augmented Generation (RAG) applications.
Personalizing AI assistants with user data.
Creating AI agents at scale.
Integrating multiple file formats and data sources for AI applications.
Developing AI assistants for platforms like Slack.

FAQs

What Is Carbon?

Carbon is a universal retrieval engine for LLMs to access unstructured data from any source.
Is my data secure with Carbon?

Yes, Carbon encrypts credentials and content at rest and in transit and is fully SOC 2 Type II compliant.
How do I request a new connector?

You can request new integrations, and Carbon will build them.
Does Carbon offer a free plan?

Carbon offers a 'Starter' plan which is Pay As You Go.