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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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Insurance Claims Retrieval Architecture: Staged Collections for Bounded Latency

Insurance Claims Retrieval Architecture: Staged Collections for Bounded Latency

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6 min read
Node.js 3-Stage Retrieval Architecture for Restaurant Menu Assistant Delete Semantics

Node.js 3-Stage Retrieval Architecture for Restaurant Menu Assistant Delete Semantics

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6 min read
Developer Changelog Retrieval Architecture with Node.js: 4 Schema Design Decisions

Developer Changelog Retrieval Architecture with Node.js: 4 Schema Design Decisions

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5 min read
Why I Chose a Node.js 3-Stage Plan for Healthcare Appointment Retrieval

Why I Chose a Node.js 3-Stage Plan for Healthcare Appointment Retrieval

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6 min read
RAG vs. Fine-Tuning: The Wrong Question to Ask When Building AI Systems

RAG vs. Fine-Tuning: The Wrong Question to Ask When Building AI Systems

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25 min read
My URL extractor scored the comments section as the article — text density alone can't find the main content

My URL extractor scored the comments section as the article — text density alone can't find the main content

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2 min read
Pioneering ISO 42001: Data Quality and Provenance in RAG Systems

Pioneering ISO 42001: Data Quality and Provenance in RAG Systems

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3 min read
I Built a Search Tool for the EU Digital Services Act, and Tested It First

I Built a Search Tool for the EU Digital Services Act, and Tested It First

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3 min read
Answering out loud in four Indian languages, in under 200 ms, on 512 MB

Answering out loud in four Indian languages, in under 200 ms, on 512 MB

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3 min read
Why Stacking RAG Tricks Stops Adding Up

Why Stacking RAG Tricks Stops Adding Up

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4 min read
Chatbots That Don't Guess: Grounding AI in Customer Service

Chatbots That Don't Guess: Grounding AI in Customer Service

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4 min read
Python Retrieval Architecture for Course Tutors: Chunk Boundaries (and Why)

Python Retrieval Architecture for Course Tutors: Chunk Boundaries (and Why)

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6 min read
Source-Versioned Chunks for Financial Research (An Incremental Indexing Architecture)

Source-Versioned Chunks for Financial Research (An Incremental Indexing Architecture)

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8 min read
Postgres Retrieval Architecture: Multi-Tenant SaaS Help Center Schema Design

Postgres Retrieval Architecture: Multi-Tenant SaaS Help Center Schema Design

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9 min read
Retrieval Architecture for News Monitoring Evaluation Sets (and Why I Chose One)

Retrieval Architecture for News Monitoring Evaluation Sets (and Why I Chose One)

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7 min read
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