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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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Local RAG: Chat With Your Documents (Open Source, Private)

Local RAG: Chat With Your Documents (Open Source, Private)

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5 min read
RAG Series (22): Long Context vs RAG — Do We Even Need RAG?

RAG Series (22): Long Context vs RAG — Do We Even Need RAG?

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6 min read
RAG Series (20): Enterprise RAG Architecture

RAG Series (20): Enterprise RAG Architecture

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6 min read
RAG Series (21): Performance Optimization — Faster and Cheaper

RAG Series (21): Performance Optimization — Faster and Cheaper

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7 min read
How the itrstats tax assistant works: one query, every layer

How the itrstats tax assistant works: one query, every layer

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10 min read
First Post - Sharing what I built today.

First Post - Sharing what I built today.

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1 min read
I built a C# Knowledge Layer to solve the AI Agent Memory Crisis

I built a C# Knowledge Layer to solve the AI Agent Memory Crisis

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4 min read
Why your AI agent can't tell when two sources are lying to each other — and what I built to fix it

Why your AI agent can't tell when two sources are lying to each other — and what I built to fix it

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4 min read
Why Naive RAG is Dead: I built a zero-dependency C# Semantic Tree Parser

Why Naive RAG is Dead: I built a zero-dependency C# Semantic Tree Parser

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2 min read
Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG)

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2 min read
Claude 4.7 Released with 1M Token Context

Claude 4.7 Released with 1M Token Context

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1 min read
NL-to-SQL Complexity Calculator

NL-to-SQL Complexity Calculator

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1 min read
AI Workflow Optimization: Snowflake Cortex, Claude Code Performance & Productivity

AI Workflow Optimization: Snowflake Cortex, Claude Code Performance & Productivity

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3 min read
How AI Changed Modern Software Engineering

How AI Changed Modern Software Engineering

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5 min read
GraphRAG vs vector RAG: when the knowledge graph pays for itself

GraphRAG vs vector RAG: when the knowledge graph pays for itself

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5 min read
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