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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 Stopped Sending Data to LLMs: Introducing "Zero-Data Transport" Architecture
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Why I Stopped Sending Data to LLMs: Introducing "Zero-Data Transport" Architecture

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Comments 3
3 min read
RAG Pipelines Made Simple: Ballerina for AI-Powered Search
Cover image for RAG Pipelines Made Simple: Ballerina for AI-Powered Search

RAG Pipelines Made Simple: Ballerina for AI-Powered Search

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7 min read
The Complete Guide to Prompt Engineering (That Actually Works)

The Complete Guide to Prompt Engineering (That Actually Works)

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6 min read
From PDFs to Markdown
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From PDFs to Markdown

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4 min read
🧠Veterinary AI Workflow with OrKa: Specialist Orchestration, Structured JSON Input, and Observable Reasoning
Cover image for 🧠Veterinary AI Workflow with OrKa: Specialist Orchestration, Structured JSON Input, and Observable Reasoning

🧠Veterinary AI Workflow with OrKa: Specialist Orchestration, Structured JSON Input, and Observable Reasoning

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5 min read
abstractions in memory system for agents

abstractions in memory system for agents

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3 min read
Enthusiast: The Open-Source Toolkit for Building RAG-Powered AI Agents for E-Commerce Workflows
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Enthusiast: The Open-Source Toolkit for Building RAG-Powered AI Agents for E-Commerce Workflows

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5 min read
Advanced RAG: From Naive Retrieval to Hybrid Search and Re-ranking

Advanced RAG: From Naive Retrieval to Hybrid Search and Re-ranking

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9 min read
LLM Mastery: Skip the Math, Focus on RAG (2026 Roadmap)
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LLM Mastery: Skip the Math, Focus on RAG (2026 Roadmap)

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7 min read
Why Your RAG System Hallucinations Start at Ingestion, Not the LLM

Why Your RAG System Hallucinations Start at Ingestion, Not the LLM

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3 min read
Ok RAG, but what about data extraction from documents?

Ok RAG, but what about data extraction from documents?

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1 min read
AI-ассистент для документации из wiki Яндекса с использованием RAG и LangChain
Cover image for AI-ассистент для документации из wiki Яндекса с использованием RAG и LangChain

AI-ассистент для документации из wiki Яндекса с использованием RAG и LangChain

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1 min read
Building a Vector Database from Scratch - CapybaraDB
Cover image for Building a Vector Database from Scratch - CapybaraDB

Building a Vector Database from Scratch - CapybaraDB

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11 min read
The Complete Developer’s Guide to GraphRAG, LightRAG, and AgenticRAG
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The Complete Developer’s Guide to GraphRAG, LightRAG, and AgenticRAG

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4 min read
I Built a Chrome Extension to Extract YouTube Transcripts in Bulk

I Built a Chrome Extension to Extract YouTube Transcripts in Bulk

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5 min read
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