The nativeRank text match score is a reasonably good text| docs.vespa.ai
content| docs.vespa.ai
Vespa models data as documents.| docs.vespa.ai
This is the reference for the Vespa command-line tools.| docs.vespa.ai
Query features| docs.vespa.ai
Using the “shortening” properties of OpenAI v3 embedding models to greatly reduce latency/cost while retaining near-exact quality| Vespa Blog
Refer to the Query API guide for API examples.| docs.vespa.ai