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    <title>Install on akenji&#39;s lab</title>
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      <title>install neo4j and try knowledge graphs</title>
      <link>https://akenji3.github.io/en/post/20240831_neo4j/</link>
      <pubDate>Sat, 31 Aug 2024 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;motivation&#34;&gt;Motivation&lt;/h2&gt;&#xA;&lt;p&gt;So far, we have built &lt;a href=&#34;https://akenji3.github.io/en/post/20240815_rag/&#34;&gt;RAG system&lt;/a&gt; using FAISS and BM25. Although vector search is relatively easy to construct, there are cases where the necessary information is not found in “k” documents, and I was looking for ways to improve the accuracy. I happened to read &lt;a href=&#34;https://note.com/ippei_suzuki_us/n/n4670c893829a&#34;&gt;this article&lt;/a&gt; and became interested in the knowledge graph and decided to try it myself.&lt;/p&gt;&#xA;&lt;p&gt;In this post, I will summarize the process of installing nao4j in my local environment and trying to use it from a browser in order to use the knowledge graph.&lt;/p&gt;</description>
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