Case Study: CloudsineAI achieves higher accuracy and faster retrieval with Needle

How CloudsineAI built a robust, highly accurate RAG pipeline with Needle

CloudsineAI, a builder of enterprise-grade AI applications, faced the challenge of creating a highly accurate and scalable RAG pipeline for their product CoSpaceGPT. Their in-house system struggled to retrieve reliable context across diverse file types like PDFs, diagrams, and images as user uploads grew, necessitating a more robust solution from a vendor like Needle.

By implementing the Needle platform, CloudsineAI gained a cost-efficient retrieval foundation that could handle unpredictable workloads and mixed media. This solution provided a 20% increase in revenue from higher conversion rates and a 120% reduction in query time, enabling CoSpaceGPT to deliver consistent, accurate answers and a strengthened product experience.

CloudsineAI

Sanat Khandekar

Software Engineer