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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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Quivr: 274 Fingerprints, 266 Titles, and a Retrieval Layer That Holds Both Keys and Knowledge

Quivr: 274 Fingerprints, 266 Titles, and a Retrieval Layer That Holds Both Keys and Knowledge

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3 min read
Candidate Search Retrieval: A 7-Point Release Checklist for Fresh, Citable Results

Candidate Search Retrieval: A 7-Point Release Checklist for Fresh, Citable Results

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5 min read
When to fine-tune a small model for one narrow task

When to fine-tune a small model for one narrow task

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6 min read
Online Course Retrieval Architecture: Tutor Index Economics (and Why I Chose One)

Online Course Retrieval Architecture: Tutor Index Economics (and Why I Chose One)

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5 min read
Deleted Documents Explained — 5 Reasons They Still Appear in Search Results

Deleted Documents Explained — 5 Reasons They Still Appear in Search Results

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7 min read
We tested web-to-Markdown tools for RAG: coverage and exact-match limits

We tested web-to-Markdown tools for RAG: coverage and exact-match limits

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4 min read
Vector Collection Fixed Dimension Contracts for Grounded Fintech Product Content

Vector Collection Fixed Dimension Contracts for Grounded Fintech Product Content

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6 min read
Turning Reddit threads into RAG-ready Markdown

Turning Reddit threads into RAG-ready Markdown

Comments 1
3 min read
Assembling Context for the Model

Assembling Context for the Model

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15 min read
Why Your RAG Chatbot Gives Wrong Answers (and How to Fix It)

Why Your RAG Chatbot Gives Wrong Answers (and How to Fix It)

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5 min read
How to adopt AI plugin for Redmine Helpdesk

How to adopt AI plugin for Redmine Helpdesk

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3 min read
Semantic Search MCP Servers for Apple Health: What Retrieval Adds

Semantic Search MCP Servers for Apple Health: What Retrieval Adds

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2 min read
RAG Chunking Done Right: Split on Structure, Attach Metadata, and Measure Recall Before You Touch chunk_size

RAG Chunking Done Right: Split on Structure, Attach Metadata, and Measure Recall Before You Touch chunk_size

Comments 2
6 min read
Filtering After Retrieval Leaks Your Documents. Put the ACL Inside the Query.

Filtering After Retrieval Leaks Your Documents. Put the ACL Inside the Query.

Comments 2
5 min read
Why I Chose Node.js Retrieval for News Monitoring: 3 Observability Checks for Citations

Why I Chose Node.js Retrieval for News Monitoring: 3 Observability Checks for Citations

Comments
5 min read
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