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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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Not a second brain. A second memory.
tonydzi profile

Not a second brain. A second memory.

#discuss #ai #rag #productivity
1
Comments
1 min read
On-Device AI in Flutter
pielounw profile

On-Device AI in Flutter

#ai #llm #flutter #rag
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7 min read
Chunking Strategy: Why I Split on Paragraph Boundaries Instead of Token Count
pgmpofu profile

Chunking Strategy: Why I Split on Paragraph Boundaries Instead of Token Count

#ai #claude #python #rag
Comments 1
7 min read
Production RAG on the Lakehouse with BigQuery Vector Search and Apache Iceberg
votuduc profile

Production RAG on the Lakehouse with BigQuery Vector Search and Apache Iceberg

#lakehouse #bigquery #apacheiceberg #rag
9
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31 min read
How does Retrieval-Augmented Generation change the way we search websites?
floallen profile

How does Retrieval-Augmented Generation change the way we search websites?

#ai #webdev #rag #aws
Comments
4 min read
RAG for Developers: What Actually Happens Between a User Query and an AI Answer
jawad_fiaz_98a3c56bad2e76 profile

RAG for Developers: What Actually Happens Between a User Query and an AI Answer

#ai #llm #rag #softwareengineering
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4 min read
Building a Production RAG Pipeline with n8n, Qdrant, and Gemini: A Step-by-Step Walkthrough
hosseinhezami profile

Building a Production RAG Pipeline with n8n, Qdrant, and Gemini: A Step-by-Step Walkthrough

#ai #rag #n8n #gemini
5
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15 min read
Building a RAG Pipeline with FastAPI — Part 1: From Documents to Vector Data
azariah_arthur_5ae83be2ec profile

Building a RAG Pipeline with FastAPI — Part 1: From Documents to Vector Data

#ai #python #rag #fastapi
1
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3 min read
From Software Engineer to AI Engineer - Part 4: RAG-ing the facts
bjornvdlaan profile

From Software Engineer to AI Engineer - Part 4: RAG-ing the facts

#ai #llm #rag #softwareengineering
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9 min read
RAG Without the Hype: Make Retrieval Observable, Testable, and Replaceable
tonal profile

RAG Without the Hype: Make Retrieval Observable, Testable, and Replaceable

#java #ai #llm #rag
2
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3 min read
Your agent already has the answer. You are paying it to look again.
tom_jones_230c4659491adcd profile

Your agent already has the answer. You are paying it to look again.

#discuss #ai #rag #architecture
2
Comments 2
13 min read
I Built an Agentic Hybrid RAG System with FAISS and BM25
sonuolikkara profile

I Built an Agentic Hybrid RAG System with FAISS and BM25

#agents #llm #python #rag
1
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4 min read
Building an Agentic Hybrid RAG System with FAISS, BM25, and smolagents
halan_pbabu_202f93123bd9 profile

Building an Agentic Hybrid RAG System with FAISS, BM25, and smolagents

#ai #python #machinelearning #rag
2
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4 min read
RAG Architecture Beyond the Demo: Retrieval, Thai Chunking, and Production Boundaries
dev_next4i profile

RAG Architecture Beyond the Demo: Retrieval, Thai Chunking, and Production Boundaries

#rag #knowledgemanagement #llm #next4i
Comments 1
7 min read
How to Version Claim Documents Without Breaking Retrieval — an Intake Runbook
liraelvex6403 profile

How to Version Claim Documents Without Breaking Retrieval — an Intake Runbook

#rag #architecture #go #sre
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8 min read
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