mirror of
https://github.com/meilisearch/MeiliSearch
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b1844b0c27
4548: v1.8 hybrid search changes r=dureuill a=dureuill Implements the search changes from the [usage page](https://meilisearch.notion.site/v1-8-AI-search-API-usage-135552d6e85a4a52bc7109be82aeca42#40f24df3da694428a39cc8043c9cfc64) ### ⚠️ Breaking changes in an experimental feature: - Removed the `_semanticScore`. Use the `_rankingScore` instead. - Removed `vector` in the response of the search (output was too big). - Removed all the vectors from the `vectorSort` ranking score details - target vector appearing in the name of the rule - matched vector appearing in the details of the rule ### Other user-facing changes - Added `semanticHitCount`, indicating how many hits were returned from the semantic search. This is especially useful in the hybrid search. - Embed lazily: Meilisearch no longer generates an embedding when the keyword results are "good enough". - Graceful embedding failure in hybrid search: when doing hybrid search (`semanticRatio in ]0.0, 1.0[`), an embedding failure no longer causes the search request to fail. Instead, only the keyword search is performed. When doing a full vector search (`semanticRatio==1.0`), a failure to embed will still result in failing that search. Co-authored-by: Louis Dureuil <louis@meilisearch.com> |
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a concurrent indexer combined with fast and relevant search algorithms
Introduction
This crate contains the internal engine used by Meilisearch.
It contains a library that can manage one and only one index. Meilisearch manages the multi-index itself. Milli is unable to store updates in a store: it is the job of something else above and this is why it is only able to process one update at a time.