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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:

  1. Getting started
  2. A basic news search application - application packages, feeding, query
  3. News search - sorting, grouping, and ranking
  4. Generating embeddings for users and news articles
  5. News recommendation - partial updates (news embeddings), ANNs, filtering
  6. News recommendation with searchers - custom searchers, doc processors
  7. News recommendation with parent-child - parent-child, tensor ranking

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.

Text Search is a set of tutorials:

  1. Text Search
  2. Text Search ML
  3. Text Search Semantic