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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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Your RAG Retrieved the Right Documents but Still Gave the Wrong Answer

Your RAG Retrieved the Right Documents but Still Gave the Wrong Answer

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2 min read
Building an Enterprise RAG Knowledge Assistant: Lessons from Production

Building an Enterprise RAG Knowledge Assistant: Lessons from Production

3
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4 min read
Day 1/60: Building My First RAG Agent for Developers

Day 1/60: Building My First RAG Agent for Developers

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1 min read
Reciprocal Rank Fusion (RRF): how it works and when to skip it

Reciprocal Rank Fusion (RRF): how it works and when to skip it

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12 min read
RAG Database Design: SQL, Full-Text Search, Vector Search, and Context Retrieval

RAG Database Design: SQL, Full-Text Search, Vector Search, and Context Retrieval

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14 min read
The Model Does Not Need Memory. The Situation Does.

Value of information absent from weights

The Model Does Not Need Memory. The Situation Does.

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11 min read
SWIRL 5 is GA: knowledge authority for enterprise AI

SWIRL 5 is GA: knowledge authority for enterprise AI

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5 min read
I built a Threat Intelligence RAG System from scratch — here's what actually broke

I built a Threat Intelligence RAG System from scratch — here's what actually broke

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1 min read
Building Minyut: An Embeddable RAG Chatbot in One Script Tag

Building Minyut: An Embeddable RAG Chatbot in One Script Tag

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4 min read
Stop telling your RAG bot not to hallucinate. Make it impossible.

Stop telling your RAG bot not to hallucinate. Make it impossible.

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4 min read
How to Build a RAG-Powered Customer Support Chatbot with Python and LLMs

How to Build a RAG-Powered Customer Support Chatbot with Python and LLMs

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5 min read
The Silent Vector Contamination Bug: Why Your Concurrent Embeddings Might Be Lying to You

The Silent Vector Contamination Bug: Why Your Concurrent Embeddings Might Be Lying to You

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4 min read
RAG sobre o seu próprio código: o encanamento que separa o protótipo do produto

RAG sobre o seu próprio código: o encanamento que separa o protótipo do produto

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3 min read
Building a RAG Pipeline From Scratch: What SmartQueue Taught Me About Retrieval

Building a RAG Pipeline From Scratch: What SmartQueue Taught Me About Retrieval

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6 min read
Bigger Context Windows Didn't Make Our RAG Smarter

Keyword density vs original decision logic

Bigger Context Windows Didn't Make Our RAG Smarter

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Comments 42
2 min read
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