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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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Cosine Similarity Failed Our RAG on Exact Terms — BM25 Fixed It

Cosine Similarity Failed Our RAG on Exact Terms — BM25 Fixed It

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6 min read
I Built an NL2SQL Agent for IPL Cricket While Learning How AI Agents Actually Work

I Built an NL2SQL Agent for IPL Cricket While Learning How AI Agents Actually Work

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5 min read
I Added Langfuse to My RAG App and It Immediately Caught Two Bugs

I Added Langfuse to My RAG App and It Immediately Caught Two Bugs

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7 min read
Build Your Own Second Brain: RAG-Powered Knowledge Tools That Never Leave Your Machine

Build Your Own Second Brain: RAG-Powered Knowledge Tools That Never Leave Your Machine

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6 min read
Building an Enterprise RAG System for Non-English Documents: A Turkish Case Study

Building an Enterprise RAG System for Non-English Documents: A Turkish Case Study

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4 min read
The 10-Layer Security System Your RAG Pipeline Is Missing

The 10-Layer Security System Your RAG Pipeline Is Missing

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7 min read
Building an Enterprise RAG System for Non-English Documents

Building an Enterprise RAG System for Non-English Documents

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5 min read
Why Naive Similarity Search Will Destroy Your RAG Agent (And What To Do Instead)

Why Naive Similarity Search Will Destroy Your RAG Agent (And What To Do Instead)

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4 min read
Le Wiki LLM : Une révolution dans la gestion de la connaissance

Le Wiki LLM : Une révolution dans la gestion de la connaissance

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9 min read
Why RAG Is Failing at Complex Questions (And How Knowledge Graphs Fix It)

Why RAG Is Failing at Complex Questions (And How Knowledge Graphs Fix It)

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6 min read
Agentic AI

Agentic AI

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2 min read
RAG in Practice — Part 7: Your RAG System Is Wrong. Here's How to Find Out Why.

RAG in Practice — Part 7: Your RAG System Is Wrong. Here's How to Find Out Why.

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11 min read
RAG Is Not Dead: Advanced Retrieval Patterns That Actually Work in 2026

RAG Is Not Dead: Advanced Retrieval Patterns That Actually Work in 2026

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6 min read
Week 5: RAG Systems and AI Agents - Where Distributed Systems Meet LLMs

Week 5: RAG Systems and AI Agents - Where Distributed Systems Meet LLMs

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6 min read
The Gap Andrej Karpathy Didn't Fill

The Gap Andrej Karpathy Didn't Fill

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5 min read
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