Case Study: IrisAgent improves customer support automation with Qdrant

A Qdrant Case Study

Preview of the IrisAgent Case Study

IrisAgent and Qdrant Redefining Customer Support with AI

IrisAgent, an AI-powered customer support automation platform, faced challenges with inefficient manual processes and information silos that prevented support teams from effectively solving customer issues. To that was open source for data security, high-performing, and easy to deploy and maintain. They chose to implement Qdrant to augment their proprietary AI capabilities.

By integrating the Qdrant vector database, IrisAgent significantly enhanced its AI pipeline for RAG use cases, achieving major performance and quality gains. The solution provided the required open-source flexibility, superior performance, and ease of use with Go and Python SDKs. This enabled IrisAgent to more effectively automate support processes, improve resolution times, and increase deflection rates for their customers.


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IrisAgent

Palak Dalal Bhatia

Founder


Qdrant

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