https://vchord.pgsty.com/tags/rag/ Recent content in rag on Vchord Hugo en-US Mon, 02 Nov 2026 19:35:19 +0800 https://vchord.pgsty.com/blog/post/pgbestmatchrs-elevate-your-postgresql-text-queries-with-bm25/ Fri, 14 Jun 2024 00:00:00 +0000 https://vchord.pgsty.com/blog/post/pgbestmatchrs-elevate-your-postgresql-text-queries-with-bm25/ <div class="td-callout td-callout--tip" role="note"> <div class="td-callout__title"><i class="td-callout__icon fa-solid fa-lightbulb" aria-hidden="true"></i><span class="td-callout__label">Tip</span></div> <div class="td-callout__body"> <p>Update: Check our latest extension VectorChord-BM25 for end2end BM25 ranking in PostgreSQL. Read more at <a href="https://vchord.pgsty.com/blog/post/vectorchord-bm25-revolutionize-postgresql-search-with-bm25-ranking-3x-faster-than-elasticsearch/">https://vchord.pgsty.com/blog/post/vectorchord-bm25-revolutionize-postgresql-search-with-bm25-ranking-3x-faster-than-elasticsearch/</a></p> </div> </div><p>%[https://github.com/tensorchord/VectorChord-bm25]</p> <p>We&rsquo;re excited to announce the release of <a href="https://github.com/tensorchord/pg_bestmatch.rs"><strong>pg_bestmatch.rs</strong></a>, a PostgreSQL extension that brings the power of Best Matching 25 Score (BM25) text queries to your database, enhancing your ability to perform efficient and accurate text retrieval. This extension allows users to generate BM25 statistic sparse vectors from text, leveraging the proven performance of BM25 in various benchmark tasks.</p>