<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>NLP on Joel Hanson</title>
    <link>https://joelhanson.com/tags/nlp/</link>
    <description>Recent content in NLP on Joel Hanson</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en</language>
    <managingEditor>joelhanson025@gmail.com (Joel Hanson)</managingEditor>
    <webMaster>joelhanson025@gmail.com (Joel Hanson)</webMaster>
    <copyright>&amp;copy; Joel Hanson</copyright>
    <lastBuildDate>Mon, 30 Sep 2024 21:28:28 +0530</lastBuildDate><atom:link href="https://joelhanson.com/tags/nlp/index.xml" rel="self" type="application/rss+xml" />
    
    <item>
      <title>Supercharging Your AI: Setting Up RAG with PostgreSQL and pgvector</title>
      <link>https://joelhanson.com/posts/06-setting-up-rag-with-postgre-sql-and-pgvector/</link>
      <pubDate>Mon, 30 Sep 2024 21:28:28 +0530</pubDate>
      <author>joelhanson025@gmail.com (Joel Hanson)</author>
      <guid>https://joelhanson.com/posts/06-setting-up-rag-with-postgre-sql-and-pgvector/</guid>
      <description>Learn how to implement a powerful Retrieval-Augmented Generation (RAG) system using PostgreSQL and pgvector. This comprehensive guide covers everything from setting up a custom PostgreSQL Docker image to creating a fully functional RAG query system with vector embeddings and language model inference.</description>
      
    </item>
    
  </channel>
</rss>
