Meilisearch v1.3: New Features for Enhanced Search and Ranking

2023/08/01

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The latest update of Meilisearch, version 1.3, introduces several exciting features that enhance search capabilities and ranking scores. One of the most significant additions is the introduction of vector search, which allows developers to index and search documents using vector embeddings. This feature opens up extensive possibilities and potential applications, although it requires the use of external tools like Hugging Face or OpenAI to create the embeddings. The update also includes the ability to display ranking scores at search time, providing insights into the relevancy of each document. Additionally, Meilisearch now offers ranking score details, allowing users to see the ranking score of each ranking rule. Another new feature is the ability to search for facet values, making it easier to filter search results. Lastly, facets can now be sorted by count, providing more flexibility in organizing search results. Overall, these updates enhance Meilisearch's capabilities and offer developers more control over search and ranking functionalities.