Case Study: Dopple.AI achieves secure, high-performance vector search at scale with Zilliz Cloud

Why Dopple Labs Chose Zilliz Cloud over Pinecone for Secure and High-Performance Vector Searches

Dopple.AI, an innovative platform for creating lifelike AI companions, needed a vector database solution to power its Retrieval Augmented Generation (RAG) system for giving its chatbots long-term memory. Their previous solution, Pinecone, lacked the granular control and effective scaling required to manage the anticipated growth to hundreds of millions of data points. This led them to seek a secure and high-performance alternative from vendor Zilliz.

The company implemented Zilliz Cloud on GCP to handle its large-scale vector storage and retrieval needs. The solution from Zilliz provided the necessary performance metrics, consistent real-time performance, and the ability to scale effectively to billions of data points. This allowed the Dopple.AI team to focus on enhancing their core product with new features like image reactions and real-time audio streaming, confident that their vector search infrastructure was secure and high-performing.

Dopple.AI

Sam Butler

Director of Machine Learning