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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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My Experience as a Speaker at Amazon, Hyderabad

My Experience as a Speaker at Amazon, Hyderabad

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3 min read
[CKE & Snowflake Intelligence] Smart AI-Powered Search for Snowflake Documentation!

[CKE & Snowflake Intelligence] Smart AI-Powered Search for Snowflake Documentation!

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6 min read
💻 Unlock RAG-Anything’s Power with Ollama on Your Machine (with Docling as Bonus)

💻 Unlock RAG-Anything’s Power with Ollama on Your Machine (with Docling as Bonus)

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8 min read
The 2025 AI Agent Report: Why AI Agents Fail in Production and the 2026 Integration Roadmap

The 2025 AI Agent Report: Why AI Agents Fail in Production and the 2026 Integration Roadmap

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11 min read
OpenAI launches ChatGPT feature to integrate company knowledge from multipleconnected business tools

OpenAI launches ChatGPT feature to integrate company knowledge from multipleconnected business tools

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2 min read
Building an Intelligent RAG System with Query Routing, Validation and Self-Correction

Building an Intelligent RAG System with Query Routing, Validation and Self-Correction

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16 min read
Local RAG with Go, Ollama, and Postgres (pgvector): a minimal guide

Local RAG with Go, Ollama, and Postgres (pgvector): a minimal guide

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2 min read
🧪 Red Team AI Benchmark: Evaluating Uncensored LLMs for Offensive Security

🧪 Red Team AI Benchmark: Evaluating Uncensored LLMs for Offensive Security

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

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

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3 min read
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
Achieve RAG in 15 Minutes: A Step-by-Step Agentforce Data Library Tutorial

Achieve RAG in 15 Minutes: A Step-by-Step Agentforce Data Library Tutorial

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8 min read
From PDFs to Markdown

From PDFs to Markdown

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

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
I Was Done Getting Answers - So I Built RAG That Asks Questions Too

I Was Done Getting Answers - So I Built RAG That Asks Questions Too

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5 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

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

Building a Vector Database from Scratch - CapybaraDB

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11 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
Reasoning In The Wild: How I Actually Think About Cognition

Reasoning In The Wild: How I Actually Think About Cognition

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10 min read
I built ARIA - Adaptive Resonant Intelligent Architecture

I built ARIA - Adaptive Resonant Intelligent Architecture

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6 min read
How Data Formatting (Line Breaks and Indentation) Affects LLM Response Accuracy in RAG

How Data Formatting (Line Breaks and Indentation) Affects LLM Response Accuracy in RAG

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4 min read
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