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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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Leveling the Playing Field: Building a 100% Offline Kubernetes Docs RAG Exam Assistant with Web AI, Gemma 4, and WebGPU
cyruswong profile

Leveling the Playing Field: Building a 100% Offline Kubernetes Docs RAG Exam Assistant with Web AI, Gemma 4, and WebGPU

#webai #gemma #rag #webgpu
9
Comments
10 min read
RAG vs fine-tuning: which should your LLM app use?
viswaretas_kotra profile

RAG vs fine-tuning: which should your LLM app use?

#ai #machinelearning #llm #rag
Comments 1
8 min read
How to Design Retrieval Architecture for Insurance Intake Under Time Limits
frozensigh2853916 profile

How to Design Retrieval Architecture for Insurance Intake Under Time Limits

#search #rag #insurance #observability
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5 min read
Five episodes on getting the right context into your LLM
conorbronsdon profile

Five episodes on getting the right context into your LLM

#rag #llm #agents #ai
Comments 1
4 min read
The Chunking Dilemma: Why RAG Fails Before Retrieval Even Starts
nigamanchal profile

The Chunking Dilemma: Why RAG Fails Before Retrieval Even Starts

#ai #softwaredevelopment #rag #machinelearning
2
Comments 2
13 min read
Testing embedding models on a hand-labelled journal
arinaymay profile

Testing embedding models on a hand-labelled journal

#ai #machinelearning #rag #testing
1
Comments 2
4 min read
Grounded E-commerce Product Search: Explicit Collections, Citations, and Traces
chrysostomhayes8537 profile

Grounded E-commerce Product Search: Explicit Collections, Citations, and Traces

#rag #vectorsearch #ecommerce #observability
Comments
5 min read
Vector search was 0.03% of my chat pipeline
arinaymay profile

Vector search was 0.03% of my chat pipeline

#ai #llm #performance #rag
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4 min read
How to Stop a Model Picking the Wrong Fact From a Long Prompt
theaicommit profile

How to Stop a Model Picking the Wrong Fact From a Long Prompt

#ai #rag
Comments
8 min read
An IT Jobs Filter Can Exclude a Bank's Engineers
vexaloom-labs profile

An IT Jobs Filter Can Exclude a Bank's Engineers

#python #rag #machinelearning #webscraping
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6 min read
Validating a vector database built for RAG: four layers of checks, with the code to run them
pournasserian profile

Validating a vector database built for RAG: four layers of checks, with the code to run them

#ai #llm #rag #vectordatabase
Comments
1 min read
RAG Architecture for AI Agents: What I Learned Researching Production Retrieval Systems (2026)
privatejack profile

RAG Architecture for AI Agents: What I Learned Researching Production Retrieval Systems (2026)

#ai #architecture #llm #rag
Comments
5 min read
Fine-Tuning vs RAG vs Prompting: The 2026 Decision Framework for LLM Applications
privatejack profile

Fine-Tuning vs RAG vs Prompting: The 2026 Decision Framework for LLM Applications

#ai #llm #machinelearning #rag
Comments
6 min read
How to Give Your AI Agent Live Web Access (Free URL Markdown API)
anycrawler profile

How to Give Your AI Agent Live Web Access (Free URL Markdown API)

#ai #rag #agents #api
Comments
5 min read
Web Scraping for RAG: Build a Reliable Pipeline with Zyte API, Qdrant and LangChain
iayanpahwa profile

Web Scraping for RAG: Build a Reliable Pipeline with Zyte API, Qdrant and LangChain

#rag #webscraping #python #langchain
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22 min read
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