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      <title>Redis Improves Performance of Vector Semantic Search with Multi-Threaded Query Engine</title>
      <link>https://www.infoq.com/news/2024/07/redis-vector-database-genai-rag/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Multi-threading-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2024/07/redis-vector-database-genai-rag/en/headerimage/Redis-Improves-Performance-of-Vector-Similarity-Searches-with-Multi-Threaded-Query+Engine-header-1721377494335.jpg"/&gt;&lt;p&gt;Redis, the in-memory data structure store, has recently released its enhanced Redis Query Engine. This comes at a time when vector databases are gaining prominence due to their importance in retrieval-augmented generation (RAG) for GenAI applications. Redis announced significant improvements to its Query Engine, using multi-threading to enhance query throughput while maintaining low latency.&lt;/p&gt; &lt;i&gt;By Vinod Goje&lt;/i&gt;</description>
      <category>Redis</category>
      <category>Multi-threading</category>
      <category>Generative AI</category>
      <category>Query</category>
      <category>Data Storage</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 19 Jul 2024 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2024/07/redis-vector-database-genai-rag/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Multi-threading-news</guid>
      <dc:creator>Vinod Goje</dc:creator>
      <dc:date>2024-07-19T15:00:00Z</dc:date>
      <dc:identifier>/news/2024/07/redis-vector-database-genai-rag/en</dc:identifier>
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