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Vespa ONNX Integration

1 post · Dec 2018

What this trail covers

Vespa now supports importing ONNX models for use in ranking, expanding its AI model compatibility beyond TensorFlow. This allows for real-time model evaluation over large datasets using models trained with various tools. This update also includes improvements to streaming search performance, precise transaction log pruning for faster restarts, and grouping on map attributes for structured data use cases.

All Yahoo trails
  1. Vespa Product Updates, December 2018 - ONNX Import and Map Attribute GroupingThis post details the addition of ONNX model import to Vespa, enabling real-time model evaluation for a wider range of AI models. It also introduces performance improvements for streaming search, optimized transaction log pruning for faster node restarts, and the ability to group on map attributes for structured data.