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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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7 Retrieval Checks for Fixing Wrong Ask-Your-Docs Chatbot Answers

7 Retrieval Checks for Fixing Wrong Ask-Your-Docs Chatbot Answers

Comments 1
6 min read
Keyword queries were where keyword search lost

Keyword queries were where keyword search lost

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5 min read
Chapter 2 (Part 2) Knowledge Retrieval Engine

Chapter 2 (Part 2) Knowledge Retrieval Engine

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4 min read
Local Search Agent

Local Search Agent

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1 min read
How Michael Vicente’s RAG Project Teach Me About Building Smarter AI?

How Michael Vicente’s RAG Project Teach Me About Building Smarter AI?

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3 min read
I gave the same fabricated answer to RAGAS and DeepEval. One scored it 0.0. The other scored it 1.0

I gave the same fabricated answer to RAGAS and DeepEval. One scored it 0.0. The other scored it 1.0

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6 min read
The LLM Was the Easy Part: Building a Hybrid RAG API

The LLM Was the Easy Part: Building a Hybrid RAG API

Comments 1
7 min read
Why does parsing scientific papers for RAG still break on equations and tables?

Why does parsing scientific papers for RAG still break on equations and tables?

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Comments 1
3 min read
OLMOCR: This Open-Source Tool Saves 80% of PDF Preprocessing Time for AI

OLMOCR: This Open-Source Tool Saves 80% of PDF Preprocessing Time for AI

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2 min read
Your RAG Pipeline Is Probably Failing Multi-Hop Questions (Here's Why)

Your RAG Pipeline Is Probably Failing Multi-Hop Questions (Here's Why)

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3 min read
🤖 Day 1 - #AIEngineerSeries

🤖 Day 1 - #AIEngineerSeries

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1 min read
I gave my agent the right memory and it ignored it anyway

I gave my agent the right memory and it ignored it anyway

Comments 2
2 min read
I built RAG over code, and vector search alone failed me

I built RAG over code, and vector search alone failed me

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4 min read
Why Pure Vector Search Fails on Kannada Literature — And How Hybrid RRF Fixed It

Why Pure Vector Search Fails on Kannada Literature — And How Hybrid RRF Fixed It

Comments 1
7 min read
How I Cut LLM Token Usage by 99% — 3 Production Engineering Steps

How I Cut LLM Token Usage by 99% — 3 Production Engineering Steps

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Comments 2
2 min read
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