News Search and recommendation
The News Search Tutorial is a set of articles to explore Vespa features.
This is the best tutorial to start with:
- Getting started
- A basic news search application - application packages, feeding, query
- News search - sorting, grouping, and ranking
- Generating embeddings for users and news articles
- News recommendation - partial updates (news embeddings), ANNs, filtering
- News recommendation with searchers - custom searchers, doc processors
- News recommendation with parent-child - parent-child, tensor ranking
Text search
Text Search is a set of tutorials:
- Text Search
- Text Search ML
Models hot swap
The Models hot swap tutorial builds on the news recommendation tutorial.
It is a guide on how to manage an application with multiple model versions.