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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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Multilingual RAG Architecture That Works in Production

Multilingual RAG Architecture That Works in Production

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7 min read
Retrieval, tools, or fine-tuning: how to decide for a voice agent

Retrieval, tools, or fine-tuning: how to decide for a voice agent

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1 min read
GFS Cost More Than 50 Cents a Run. Now Each Run Costs 4 Cents

GFS Cost More Than 50 Cents a Run. Now Each Run Costs 4 Cents

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Comments 2
14 min read
Model Cascade: making LLM classification cheaper

Model Cascade: making LLM classification cheaper

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5 min read
Mind Discipline: Why Our AI Advisor Only Reads Hand-Crafted Contracts

Mind Discipline: Why Our AI Advisor Only Reads Hand-Crafted Contracts

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9 min read
Your RAG Searches by Meaning. But What About Exact Words? Meet BM25

Your RAG Searches by Meaning. But What About Exact Words? Meet BM25

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4 min read
I Benchmarked 6 AI Agent Memory Strategies: Top Score, Worst Experience

I Benchmarked 6 AI Agent Memory Strategies: Top Score, Worst Experience

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29 min read
从 Demo 到生产:那些真正让 AI Agent 敢上线的护栏

从 Demo 到生产:那些真正让 AI Agent 敢上线的护栏

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2 min read
I Tested 4 RAG Chunking Strategies Everyone Recommends. 2 Were Quietly Broken.

I Tested 4 RAG Chunking Strategies Everyone Recommends. 2 Were Quietly Broken.

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6 min read
RAG Explained: A Beginner's Guide to Retrieval-Augmented Generation

RAG Explained: A Beginner's Guide to Retrieval-Augmented Generation

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8 min read
We benchmarked AI memory systems on LongMemEval — here is the honest data

We benchmarked AI memory systems on LongMemEval — here is the honest data

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2 min read
Your RAG Isn't Broken. Your Retrieval Pipeline Is.

Your RAG Isn't Broken. Your Retrieval Pipeline Is.

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16 min read
Hexagonal Architecture for Provider-Agnostic RAG Pipelines

Hexagonal Architecture for Provider-Agnostic RAG Pipelines

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6 min read
How I Built a RAG System as a Python Beginner

How I Built a RAG System as a Python Beginner

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2 min read
rag_pipeline.py

rag_pipeline.py

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7 min read
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