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Introducing the new Code System Concept Suggest API (#1049, 5aad00c)
Based on lexical and/or semantic information concepts can be retrieved for a given set of like and unlike texts or queries
Supports pluggable suggester implementations, currently available open-source suggesters are:
term suggester - based on the most frequent tokens in the given like/unlike corpus the implementation suggests concepts based on their terms using default Elasticsearch full-text queries (synonym support, ignore stopwords, fuzziness, min occurrence count configuration settings are available)
mlt suggester - based on the given most frequent tokens in the like/unlike corpus the implementation suggests concepts based on their terms using Elasticsearch More Like This query (MLT specific configuration values are available, works best for large number of like texts)
Add batchSize and batchSizeTimeout configuration parameters to POST /suggest/bulk API (05ae0ec)
Support filtering resources by their settings key-value pairs (#1048, #1050)
Support Elasticsearch 8 clusters and features via a dedicated high-level client (#1047)