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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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The Agentic Web: When AI Starts Talking to Other AI

The Agentic Web: When AI Starts Talking to Other AI

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5 min read
Get Started with seekdb_ Install, Deploy, and Run Your First Hybrid Search

Get Started with seekdb_ Install, Deploy, and Run Your First Hybrid Search

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Comments 1
5 min read
My Sister Hates My New Openclaw (Because I'm Finally Right)

My Sister Hates My New Openclaw (Because I'm Finally Right)

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2 min read
Building a Production-Ready RAG System with Incremental Indexing
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Building a Production-Ready RAG System with Incremental Indexing

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6 min read
Building a RAG System from Scratch: Turning Aviation Disruption Data into an AI-Powered Q&A App
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Building a RAG System from Scratch: Turning Aviation Disruption Data into an AI-Powered Q&A App

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5 min read
Build Your Own AI Ops Assistant — Part 2: Foundation
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Build Your Own AI Ops Assistant — Part 2: Foundation

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9 min read
The 10-Line Semantic Firewall That Stopped 60% of Our RAG Hallucinations
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The 10-Line Semantic Firewall That Stopped 60% of Our RAG Hallucinations

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6 min read
@hazeljs/memory: Pluggable User Memory for AI Applications
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@hazeljs/memory: Pluggable User Memory for AI Applications

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3 min read
Why I Ditched RAG for an Agentic Approach (And When You Should Too)
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Why I Ditched RAG for an Agentic Approach (And When You Should Too)

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4 min read
The Overlooked Attack Surface in Enterprise RAG Systems
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The Overlooked Attack Surface in Enterprise RAG Systems

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2 min read
Hands-on: Azure AI Search & AI Foundry for RAG
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Hands-on: Azure AI Search & AI Foundry for RAG

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4 min read
Prompt management, RAG, and agents in NodeJS
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Prompt management, RAG, and agents in NodeJS

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Comments 1
6 min read
Mojo: A Lightweight C++ Web Crawler for converting websites to RAG ready data (Fast, Simple, CI/CD-Friendly)

Mojo: A Lightweight C++ Web Crawler for converting websites to RAG ready data (Fast, Simple, CI/CD-Friendly)

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2 min read
8 RAG Patterns You Should Stop Ignoring
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8 RAG Patterns You Should Stop Ignoring

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15 min read
How to Build Long-Term Memory for LLMs (RAG + FAISS Tutorial)
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How to Build Long-Term Memory for LLMs (RAG + FAISS Tutorial)

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4 min read
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