Examples
- Pyvespa examples
- Multi-vector indexing with HNSW
- Create the application
- Configure fields
- Configure rank profiles
- Configure fieldset
- Configure document summary
- Export the configuration
- Download model files
- Deploy the application
- Feed documents
- Simple retrieve all articles with undefined ranking
- Traditional keyword search with BM25 ranking on the article level
- Semantic vector search on the paragraph level
- Hybrid search and ranking
- Hybrid search and filter
- Cleanup
- LightGBM: Training the model with Vespa features
- LightGBM: Mapping model features to Vespa features