Better Relevance for AI Apps With BM25 Algorithm in PostgreSQL

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Better Relevance for AI Apps With BM25 Algorithm in PostgreSQL
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Tiger Data, formerly known as Timescale, recently open sourced a preview version of pg_textsearch<, ranked text search using the Best Matching 25 (BM25) algorithm< for PostgreSQL.<

Its creators have found the response startling. Within days, it had 1,000 stars on GitHub and had 1,800 at last count.<

frame loading=”lazy” width=”504″ height=”263″ src=”https://www.linkedin.com/embed/feed/update/urn:li:share:7406358782613770240?collapsed=1″ frameborder=”0″ allowfullscreen=”allowfullscreen” title=”Embedded post”> frame><

The company changed its name because, although originally focused on creating a time-series database, it found developers using its Postgres implementation for use cases unrelated to time series data. As the company widened its focus — today it…<

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Better Relevance for AI Apps With BM25 Algorithm in PostgreSQL

, Published By The New Stack
Better Relevance for AI Apps With BM25 Algorithm in PostgreSQL
Tech


Tiger Data, formerly known as Timescale, recently open sourced a preview version of pg_textsearch<, ranked text search using the Best Matching 25 (BM25) algorithm< for PostgreSQL.<

Its creators have found the response startling. Within days, it had 1,000 stars on GitHub and had 1,800 at last count.<

frame loading=”lazy” width=”504″ height=”263″ src=”https://www.linkedin.com/embed/feed/update/urn:li:share:7406358782613770240?collapsed=1″ frameborder=”0″ allowfullscreen=”allowfullscreen” title=”Embedded post”> frame><

The company changed its name because, although originally focused on creating a time-series database, it found developers using its Postgres implementation for use cases unrelated to time series data. As the company widened its focus — today it…<

<



Source link <

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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Do Faces Help YouTube Thumbnails? Here’s What The Data Says
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Tim Cook’s ‘top priority’ product could finally take shape next year
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