Madhusudhan Konda
Software Engineer, Speaker and Author of Elasticsearch in Action (2nd Edition)
SubscribeCombining sparse, dense and geo fields in Elasticsearch
Elasticsearch Labs
Combining sparse, dense and geo fields in Elasticsearch
Explore Elasticsearch data fields, such as sparse, dense & geo fields, and how to combine them to produce in-depth analytics on your data.
Scoring documents based on the closest ones with multiple kNN fields
Elasticsearch Labs
Scoring documents based on the closest ones with multiple kNN fields
Learn how to search through documents with multiple kNN fields, and score the resultant documents based on multiple kNN vector fields.
How to choose the best k and num_candidates for kNN search
Elasticsearch Labs
How to choose the best k and num_candidates for kNN search
Learn strategies for selecting the optimal values for `k` and `num_candidates` parameters in kNN search, illustrated with practical examples.