Field techs waited 24s for repair guidance. Vector retrieval cut response times to 2.89s and reduced parts costs by 62%.
An AI platform provider for the heavy machinery and medical equipment industries aggregates vast repositories of technical data, including manuals, schematics, and technician notes.
An in-house search system built on PostgreSQL and blob storage was too slow for real-time needs, with full responses taking approximately 24 seconds....
“Pinecone is a critical part of our agentic architecture; it powers the retrieval backbone of Aquant AI, including our knowledge agent, which delivers real-time, context-aware guidance to service professionals. Its performance and scalability allow us to serve our customers in production at enterprise scale, without compromising speed or accuracy. That’s enabled us to move beyond static answers and toward dynamic, AI-driven service intelligence.”
Agentic AI platform for servicing and maintaining complex industrial equipment.
Managed vector database for AI search, retrieval, and recommendation systems.
Related implementations across industries and use cases
Legacy databases bottlenecked real-time knowledge for field techs. Serverless vector search cut AI response times from 24 to 14 seconds.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Dealers lost hours sifting through manuals. AI now provides instant diagnostic paths, scaling support capacity from 10:1 to 1,000:1.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Keywords failed to link siloed defense data. Hybrid search now scans 120M+ vectors to surface critical funding relationships.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Field techs waited 24s for repair guidance. Vector retrieval cut response times to 2.89s and reduced parts costs by 62%.
An AI platform provider for the heavy machinery and medical equipment industries aggregates vast repositories of technical data, including manuals, schematics, and technician notes.
An in-house search system built on PostgreSQL and blob storage was too slow for real-time needs, with full responses taking approximately 24 seconds....
“Pinecone is a critical part of our agentic architecture; it powers the retrieval backbone of Aquant AI, including our knowledge agent, which delivers real-time, context-aware guidance to service professionals. Its performance and scalability allow us to serve our customers in production at enterprise scale, without compromising speed or accuracy. That’s enabled us to move beyond static answers and toward dynamic, AI-driven service intelligence.”
Agentic AI platform for servicing and maintaining complex industrial equipment.
Managed vector database for AI search, retrieval, and recommendation systems.
Related implementations across industries and use cases
Legacy databases bottlenecked real-time knowledge for field techs. Serverless vector search cut AI response times from 24 to 14 seconds.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Dealers lost hours sifting through manuals. AI now provides instant diagnostic paths, scaling support capacity from 10:1 to 1,000:1.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Keywords failed to link siloed defense data. Hybrid search now scans 120M+ vectors to surface critical funding relationships.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.