<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vector Database on Kourtney's Portfolio</title><link>https://klee1611.github.io/tags/vector-database.html</link><description>Recent content in Vector Database on Kourtney's Portfolio</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>kourtneylee1611@gmail.com (Kuo-Hsiu (Kourtney) Lee)</managingEditor><webMaster>kourtneylee1611@gmail.com (Kuo-Hsiu (Kourtney) Lee)</webMaster><copyright>© 2026 Kuo-Hsiu (Kourtney) Lee</copyright><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://klee1611.github.io/tags/vector-database/index.xml" rel="self" type="application/rss+xml"/><item><title>Iron Counsel: Enterprise RAG Architecture &amp; Conversational AI</title><link>https://klee1611.github.io/projects/iron-counsel.html</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><author>kourtneylee1611@gmail.com (Kuo-Hsiu (Kourtney) Lee)</author><guid>https://klee1611.github.io/projects/iron-counsel.html</guid><description>&lt;p&gt;Conversational AI app demonstrating accurate LLM inference with RAG over complex datasets. Tech stack: Serverless FastAPI backend on GCP (provisioned via Terraform), local ONNX embeddings, Firestore vector search, and LangChain orchestration.&lt;/p&gt;</description></item></channel></rss>