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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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AIGoat - AI Security Playground to Attack and Defend LLMs. All Running Locally

AIGoat - AI Security Playground to Attack and Defend LLMs. All Running Locally

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Comments 1
3 min read
How I Built a Hallucination Detector for RAG Pipelines in Python

How I Built a Hallucination Detector for RAG Pipelines in Python

Comments 1
3 min read
The architecture of persistent AI memory: Beyond simple vector search

The architecture of persistent AI memory: Beyond simple vector search

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2 min read
Introducing Citai: the RAG engine I built across 6 articles — now free to try

Introducing Citai: the RAG engine I built across 6 articles — now free to try

Comments 2
6 min read
Compound AI Systems: How I Connect Multiple Models in a Single Production Product

Compound AI Systems: How I Connect Multiple Models in a Single Production Product

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2 min read
Presentando Citai: el motor RAG que construí en 6 artículos — y que ahora podés probar gratis

Presentando Citai: el motor RAG que construí en 6 artículos — y que ahora podés probar gratis

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6 min read
Why Your LLM Ignores Detailed Instructions (It's Not a Bug)

Why Your LLM Ignores Detailed Instructions (It's Not a Bug)

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2 min read
Most GenAI chatbot tutorials stop at “call an LLM get an answer.”

Most GenAI chatbot tutorials stop at “call an LLM get an answer.”

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1 min read
🚀 Beyond RAG: Simulating the Future with MiroFish

🚀 Beyond RAG: Simulating the Future with MiroFish

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2 min read
Perfect Retrieval Recall on LongMemEval — Running Fully Local

Perfect Retrieval Recall on LongMemEval — Running Fully Local

Comments 1
4 min read
AI Products Break on the Data Layer — Not on the Next Model Release

AI Products Break on the Data Layer — Not on the Next Model Release

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Comments 2
5 min read
I Ran 500 More Agent Memory Experiments. The Real Problem Wasn’t Recall. It Was Binding.

Rigor beyond happy-path testing

I Ran 500 More Agent Memory Experiments. The Real Problem Wasn’t Recall. It Was Binding.

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Comments 29
14 min read
A Unified View of AI Evolution: From Machine Learning to LLMs, RAG, and Fine-Tuning

A Unified View of AI Evolution: From Machine Learning to LLMs, RAG, and Fine-Tuning

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5 min read
Beyond Vector Search: Building a Clause Forest (FoC) Architecture for Financial RAG

Beyond Vector Search: Building a Clause Forest (FoC) Architecture for Financial RAG

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7 min read
đź§  Streaming LLM APIs Can Quietly Give Free Tokens

đź§  Streaming LLM APIs Can Quietly Give Free Tokens

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1 min read
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