Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
A solo-founder led platform enabling companies to create custom AI chatbots from documentation, which surged in popularity after a viral launch generated 2.3 million impressions.
Viral growth exposed a critical flaw in the MVP, which could not scale to manage tens of thousands of isolated customer indexes without crashing....
“Weaviate stood out because it’s clearly designed for real production use cases, not just experimentation. It was the only solution with an efficient tenant-based system that scaled to our unique workload of tens of thousands of distinct segmented indexes.”
AI-powered chatbot builder for documentation and customer support.
Open-source vector database for building AI applications and search experiences.
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Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
Engineers spent weeks manually sharding. A serverless RAG pipeline now auto-scales 100 million vectors.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Engineers spent weeks manually sharding. A serverless RAG pipeline now auto-scales 100 million vectors.
5-10s latency broke call momentum. Migrating to Groq cut response time to 200ms, allowing the AI to guide reps instantly.
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Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.