weaviate/weaviate v1.6.0

v1.6.0 - Zero Shot Classifications

on GitHub

Docker image/tag: semitechnologies/weaviate:1.6.0

Breaking Changes

none

New Features

• Zero Shot Classification (#1603)

  This release adds a new classification type zeroshot that works with any vectorizer or custom vectors. It picks the label objects that have the lowest distance to the source objects. The link is made using cross-references, similar to existing classifications in Weaviate.

  To start a zeroshot classification use "type": "zeroshot" in your POST /v1/classficiations request and specify the properties you want classified normally using "classifyProperties": [...].

  As zero shot involves no training data, you cannot set trainingSetWhere filters, but can filter both source ("sourceWhere") and label objects ("targetWhere") directly.

Fixes

• Fix nil-pointer panic on updated/deleted HNSW entrypoint (#1650)

  In concurrent update/import scenarios such as during classifications, this bug could lead to a nil pointer dereference panic. This releases fixes this issue.