The Challenge
Vertex AI Labs needed a multi-tenant RAG vector search engine that could resolve support queries automatically without cross-tenant leakage.
AI Systems & RAG
Vertex Autonomous Agentic Pipeline
Built for Vertex AI Labs
80% Inquiry Automation99.4% Accuracy
Vertex AI Labs
AI Systems & RAG
80%
of support inquiries automated
45
ms average retrieval latency
65%
reduction in support cost
The Solution
Delivered a FastAPI + LangChain agentic pipeline with tenant isolation, hybrid retrieval, and guarded tool calling.
Tech & Architecture
Stack behind the build
V
Vector DB
"Their agentic stack cut our support load dramatically while staying accurate."
Priya Nair
VP Engineering, Vertex AI Labs
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