weaviate/weaviate 0.17.0 on GitHub

Docker image/tag: semitechnologies/weaviate:0.17.0

New features

Vector indexing at import time
When a concept is imported through a non-batch fashion, a vector-representation is created and stored in weaviate's vector db.
GQL{ Local { Explore }} (#888, #904)
A new GQL Field was added which allows to search for concepts rather than keywords. The request is served through weaviate's vector searching backends. (Docs not up to date yet, coming soon!)
New GQL argument explore() in { Local { Get }} (#906)
The existing { Local { Get } } API was extended with a new explore() parameter, which allows for a concept (vector-based) search in addition to the classical where() structured search

New esvector backend
If the new vector-based concept search should be used, a new esvector backend is required. See the docker-compose/runtime/docker-compose.yml file for an example
Reimport required for Vector Creation
While the changes themselves are not breaking, vectors are currently only created at import time. There is no reindex feature yet. So we strongly recommend to setup an empty weaviate installation and reimporting all concepts when moving to 0.17.x