Vespa Roadmap

This page lists large upcoming features in Vespa. To make it easy to keep up to date, we're not listing smaller items, nor work that we consider improvements to existing features. These are often tracked by GitHub issues.

Launching soon

  • Production support for the ARM64 (AArch64) architecture.
  • Document Summary fetch optimizations + support for dynamic summary / bolding for array<string> fields.
  • Paged support for sparse & mixed tensor attributes.

In progress

  • New sample applications for hybrid/vector search.
  • Tensor math optimizations for hash-like lookups.
  • New python learn-to-rank module for data science.
  • New Data Logging feature for simplified Amazon Kinesis (and the likes) export.

Priority backlog

  • Support for high-performance feeding in the Vespa CLI.
  • Online learning: Global tensors mutable at a high continuous rate.
  • Global multi-region feeding: Feed once, globally, with automatic resync.