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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Retrieval-Augmented Generation (RAG) Projects

Retrieval-Augmented Generation (RAG) Projects

Paperback

General Computers

ISBN13: 9798183704129
Publisher: Independently Published
Published: Jun 22 2026
Pages: 78
Weight: 0.35
Height: 0.20 Width: 6.00 Depth: 9.00
Language: English
Large language models are powerful - but they don't know anything about your data. Retrieval-Augmented Generation (RAG) changes that. Instead of expensive fine-tuning or stuffing entire documents into every prompt, RAG retrieves exactly the right information at query time and hands it to the LLM as context. The result: AI applications that are accurate, grounded, and actually deployable.

What You'll Build:

Project 1: A PDF question-answering chatbot with conversational memory and page-level source citation

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General Computers