Case Studies
Connect external data to LLMs, no matter the source.
Having access to company knowledge at their fingertips is critical to our users in resolving customer and employee queries on Slack. With Carbon, we are able to provide access to scores of enterprise data sources like Sharepoint, Google Drive, and Github. We love the product and the speed at which the team iterates.
Joydeep Sen Sarma
Co-Founder
Clearfeed
Challenge
To deliver accurate and relevant answers, ClearFeed's AI models require access to a wide range of knowledge sources, including internal documentation, knowledge bases, and other unstructured data. Connecting to these diverse data sources and efficiently retrieving information posed a significant challenge for ClearFeed's development team.
Solution
ClearFeed partnered with Carbon, a universal retrieval engine for large language models (LLMs), to overcome this challenge. Carbon's powerful data connectors allow ClearFeed to seamlessly integrate with over 25 different data sources, including popular platforms like Google Drive, Dropbox, OneDrive, and Box.
By leveraging Carbon’s unified API, ClearFeed can easily ingest, process, and index content from multiple sources. Carbon cleans and normalizes the data, optimizing it for use with LLMs. This enables ClearFeed's AI models to quickly retrieve relevant information and provide accurate, context-aware responses to user queries.
Key reasons Clearfeed chose to work with Carbon include:
Seamless Integration: Carbon's universal retrieval engine allows ClearFeed to connect to a wide range of data sources with minimal development effort, saving time and resources.
Improved Accuracy: By indexing content from multiple sources, Carbon enables ClearFeed's AI models to deliver more accurate and relevant answers to user questions.
Enhanced Security: Carbon ensures the highest level of security by encrypting credentials and content both at rest and in transit. ClearFeed can confidently leverage sensitive data without compromising privacy or compliance.
Scalability: With Carbon's auto-scaling capabilities and enterprise-level availability guarantees, ClearFeed can efficiently handle increasing demand and provide reliable support to a growing user base.
Conclusion
By partnering with Carbon and leveraging its universal retrieval engine, ClearFeed has significantly enhanced its AI-powered support capabilities. The seamless integration with diverse data sources, improved accuracy, and robust security features have enabled ClearFeed to deliver an exceptional support experience directly within Slack and beyond. As ClearFeed continues to grow and evolve, Carbon's technology will play a crucial role in ensuring the platform's success.
