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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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Why I chose a CLI over MCP for my Dev Tool

Why I chose a CLI over MCP for my Dev Tool

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6 min read
RAG vs Fine-Tuning vs Context Stuffing: What We've Learned Building AI Apps for Clients

RAG vs Fine-Tuning vs Context Stuffing: What We've Learned Building AI Apps for Clients

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8 min read
Building Persistent AI Agent Memory Systems That Actually Work
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Building Persistent AI Agent Memory Systems That Actually Work

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8 min read
Your RAG App Is Broken Because You're Still Parsing PDFs Like It's 2023

Your RAG App Is Broken Because You're Still Parsing PDFs Like It's 2023

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2 min read
Open Source Project of the Day (Part 28): Graphiti - Building Real-Time Knowledge Graphs for AI Agents

Open Source Project of the Day (Part 28): Graphiti - Building Real-Time Knowledge Graphs for AI Agents

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7 min read
How to Download and Upload Large Models with the Hugging Face CLI
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How to Download and Upload Large Models with the Hugging Face CLI

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2 min read
An Engineering-grade breakdown of RAG Pipeline

An Engineering-grade breakdown of RAG Pipeline

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3 min read
I Built an AI Chatbot That Knows Everything About Me
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I Built an AI Chatbot That Knows Everything About Me

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6 min read
What Does a RAG Pipeline for Cypress Actually Look Like?
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What Does a RAG Pipeline for Cypress Actually Look Like?

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2 min read
Introducing HCEL: The Most Fluent Way to Build AI Pipelines in TypeScript
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Introducing HCEL: The Most Fluent Way to Build AI Pipelines in TypeScript

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7 min read
Beyond Static RAG: Using 1958 Biochemistry to Beat Multi-Hop Retrieval by 14%

Beyond Static RAG: Using 1958 Biochemistry to Beat Multi-Hop Retrieval by 14%

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2 min read
Why Domain Knowledge Is the Core Architecture of Fine-Tuning and RAG — Not an Afterthought
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Why Domain Knowledge Is the Core Architecture of Fine-Tuning and RAG — Not an Afterthought

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8 min read
Beyond RAG: Building Graph-Aware Retrieval for Contract Reasoning

Beyond RAG: Building Graph-Aware Retrieval for Contract Reasoning

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12 min read
Stop Drowning in Vectors: How I Built a Graph-Powered RAG That Actually Scales
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Stop Drowning in Vectors: How I Built a Graph-Powered RAG That Actually Scales

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3 min read
Document Structure Extraction with Kreuzberg
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Document Structure Extraction with Kreuzberg

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7 min read
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