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# rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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The REM Cycle: What Background Memory Consolidation Actually Does
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The REM Cycle: What Background Memory Consolidation Actually Does

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2 min read
RAG in Practice — Read from the beginning
Cover image for RAG in Practice — Read from the beginning

RAG in Practice — Read from the beginning

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2 min read
GPU-Bridge + LlamaIndex: Embeddings and Reranking in One Line

GPU-Bridge + LlamaIndex: Embeddings and Reranking in One Line

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2 min read
How PageIndex Works: A Step-by-Step Technical Walkthrough

How PageIndex Works: A Step-by-Step Technical Walkthrough

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7 min read
My RAG Pipeline Took an Hour. Here's How I Got It Down to 30 Seconds.
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My RAG Pipeline Took an Hour. Here's How I Got It Down to 30 Seconds.

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3 min read
Graph RAG vs Vector RAG: A Practitioner's Guide to Choosing the Right Architecture

Graph RAG vs Vector RAG: A Practitioner's Guide to Choosing the Right Architecture

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3 min read
RAG in Practice — Part 3: How RAG Works — The Complete Pipeline
Cover image for RAG in Practice — Part 3: How RAG Works — The Complete Pipeline

RAG in Practice — Part 3: How RAG Works — The Complete Pipeline

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9 min read
Your RAG pipeline is only as good as the shit you put in your vector database

Your RAG pipeline is only as good as the shit you put in your vector database

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2 min read
How I Built a Smart Q&A Bot for a Local Music Venue in a Weekend — A Practical Introduction to RAG Systems
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How I Built a Smart Q&A Bot for a Local Music Venue in a Weekend — A Practical Introduction to RAG Systems

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31 min read
Why Most RAG Systems Hallucinate — And How My Hybrid Pipeline Fixes It

Why Most RAG Systems Hallucinate — And How My Hybrid Pipeline Fixes It

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13 min read
Continuous Refactoring with LLMs: Patterns That Work in Production
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Continuous Refactoring with LLMs: Patterns That Work in Production

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4 min read
Retrieval Strategy Design: Vector, Keyword, and Hybrid Search

Retrieval Strategy Design: Vector, Keyword, and Hybrid Search

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3 min read
## I Built an AI Tourism Assistant for Kenya Using RAG, pgvector, and Streamlit

## I Built an AI Tourism Assistant for Kenya Using RAG, pgvector, and Streamlit

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3 min read
LedgerMind v3.0: Knowledge That Lives, Breathes, and Dies on Purpose

LedgerMind v3.0: Knowledge That Lives, Breathes, and Dies on Purpose

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12 min read
RAG vs Fine-Tuning for LLMs (2026): What Actually Works in Production
Cover image for RAG vs Fine-Tuning for LLMs (2026): What Actually Works in Production

RAG vs Fine-Tuning for LLMs (2026): What Actually Works in Production

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6 min read
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