A Simple Guide to Retrieval Augmented Generation (Paperback)
Language: English
Published by Manning Publications, New York, 2025
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
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Add to basketItem description from seller
Paperback. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generationor RAGenhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9781633435858
- Title
- A Simple Guide to Retrieval Augmented Generation (Paperback)
- Author
- Abhinav Kimoth
- Publisher
- Manning Publications, New York
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1633435857
- ISBN 13
- 9781633435858
Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.
Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation―or RAG―enhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!
In A Simple Guide to Retrieval Augmented Generation you'll learn:
- The components of a RAG system
- How to create a RAG knowledge base
- The indexing and generation pipeline
- Evaluating a RAG system
- Advanced RAG strategies
- RAG tools, technologies, and frameworks
A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Grand Eagle Retail
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