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    <title>InfoQ - vector databases - Articles</title>
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    <description>InfoQ vector databases Articles feed</description>
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      <title>Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG</title>
      <link>https://www.infoq.com/articles/vector-search-hybrid-retrieval-rag/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=vector+databases-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/vector-search-hybrid-retrieval-rag/en/headerimage/vector-search-hybrid-retrieval-rag-header-1779972811121.jpg"/&gt;&lt;p&gt;In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution.&lt;/p&gt; &lt;i&gt;By Aaditya Chauhan&lt;/i&gt;</description>
      <category>vector databases</category>
      <category>ElasticSearch</category>
      <category>Generative AI</category>
      <category>Retrieval-Augmented Generation</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Tue, 02 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/vector-search-hybrid-retrieval-rag/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=vector+databases-articles</guid>
      <dc:creator>Aaditya Chauhan</dc:creator>
      <dc:date>2026-06-02T09:00:00Z</dc:date>
      <dc:identifier>/articles/vector-search-hybrid-retrieval-rag/en</dc:identifier>
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