Case Study: Neople achieves 90% faster search with Weaviate

A Weaviate Case Study

Preview of the Neople Case Study

How Neople Assistants transform customer service with Weaviate

Neople, a startup that creates AI-powered digital assistants for customer service, faced significant challenges with their initial Postgres database. It was unable to provide real-time responses, causing their Neople Assistants to take minutes to answer queries, which severely limited their usefulness. They needed a vector database that was easy to deploy, reliable, and would give them full control over their data without requiring extensive maintenance, leading them to adopt Weaviate.

By implementing the Weaviate vector database, Neople achieved dramatically faster and more accurate search results. This solution enabled a 90% reduction in search time, from 10 seconds to under 1 second, and allowed them to store 1000 times more data objects. The use of Weaviate’s out-of-the-box modules also reduced developer toil, allowing Neople's team to focus on enhancing their core AI assistant offering instead of maintaining custom infrastructure.


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Neople

Job Nijenhuis

Co-Founder and CTO


Weaviate

2 Case Studies