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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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Bring Your Own RAG

Bring Your Own RAG

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2 min read
AyeWatch - AI Internet Monitor Agent, for any sources or website with custom alert rules

AyeWatch - AI Internet Monitor Agent, for any sources or website with custom alert rules

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3 min read
Curiosity and Craft: What Drives Me to Build

Curiosity and Craft: What Drives Me to Build

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6 min read
Bedrock Knowledge Bases with S3 Vectors: A [Preview] CDK Quickstart

Bedrock Knowledge Bases with S3 Vectors: A [Preview] CDK Quickstart

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8 min read
How We Turned Our Notion Playbook into a Slack Assistant with a Low-Code RAG Stack

How We Turned Our Notion Playbook into a Slack Assistant with a Low-Code RAG Stack

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4 min read
Renting GPT vs. Building Your Own AI: The True Cost of Chatbots

Renting GPT vs. Building Your Own AI: The True Cost of Chatbots

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3 min read
Your RAG is Basic. Here's the KG-RAG Pattern We Used to Build a Real AI Agent.

Your RAG is Basic. Here's the KG-RAG Pattern We Used to Build a Real AI Agent.

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2 min read
**"Stop Breaking Context: Smarter Text Chunking for Python NLP Projects"**

**"Stop Breaking Context: Smarter Text Chunking for Python NLP Projects"**

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2 min read
Evolving My AI Journal: From Python MCPs to Rust Scripts and Claude Code

Evolving My AI Journal: From Python MCPs to Rust Scripts and Claude Code

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9 min read
Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

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8 min read
The hidden cost of evaluation loops

The hidden cost of evaluation loops

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1 min read
How Retrieval Algorithms Shape Better LLM Responses?

How Retrieval Algorithms Shape Better LLM Responses?

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3 min read
NuMarkdown-8B-Thinking: The Open-Source Reasoning OCR that Converts PDFs to Auditable Markdown for Enterprise RAG Pipelines

NuMarkdown-8B-Thinking: The Open-Source Reasoning OCR that Converts PDFs to Auditable Markdown for Enterprise RAG Pipelines

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10 min read
🤖 RAG on AWS: Building an AI-powered Knowledge Base, with Amazon Bedrock and S3 Vectors

🤖 RAG on AWS: Building an AI-powered Knowledge Base, with Amazon Bedrock and S3 Vectors

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5 min read
🧠 GenAI as a Backend Engineer: Part 3 — RAG with LlamaIndex

🧠 GenAI as a Backend Engineer: Part 3 — RAG with LlamaIndex

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4 min read
The Nikki Haflinger Project: A Deep Analysis of AI Identity Transfer with Commentary from Another AI

The Nikki Haflinger Project: A Deep Analysis of AI Identity Transfer with Commentary from Another AI

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12 min read
Building NeuroStash - VI

Building NeuroStash - VI

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3 min read
Building with Generative AI: Lessons from 5 Projects Part 1: RAG

Building with Generative AI: Lessons from 5 Projects Part 1: RAG

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8 min read
How to make Cursor an Agent that Never Forgets and 10x your productivity

How to make Cursor an Agent that Never Forgets and 10x your productivity

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4 min read
How the Pool Pattern Works in Multi-tenant RAG

How the Pool Pattern Works in Multi-tenant RAG

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2 min read
SuperOptiX Memory: A Practical Guide for Building Agents That Remember

SuperOptiX Memory: A Practical Guide for Building Agents That Remember

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6 min read
From Markdown to Meaning: Turn Your Obsidian Notes into a Conversational Database Using LangChain, Python, and ChromaDB

From Markdown to Meaning: Turn Your Obsidian Notes into a Conversational Database Using LangChain, Python, and ChromaDB

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13 min read
🤯 Why Your RAG System with FAISS Is Still Failing — and How to Actually Fix It

🤯 Why Your RAG System with FAISS Is Still Failing — and How to Actually Fix It

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3 min read
Building NeuroStash - V

Building NeuroStash - V

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4 min read
🐍 How I Built a Terminal Knowledge Crawler in Pure Python (No Frameworks)

🐍 How I Built a Terminal Knowledge Crawler in Pure Python (No Frameworks)

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4 min read
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