Articoli correlati a Hands-On RAG for Production: Design, Develop, and Deploy...
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications - Brossura
Sinossi
Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications.
Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they'll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them.
- Determine whether to build RAG yourself or deploy a RAG-as-a-service platform
- Build a basic RAG stack that maximizes performance and cost-effectiveness
- Measure key metrics such as hallucinations, response quality, latency, and cost
- Address challenges in enterprise deployment, such as compliance with data security and privacy requirements, explainability, and prompt design
- Implement advanced techniques such as multimodal RAG, agentic RAG, and GraphRAG
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
Ofer Mendelevitch leads developer relations at Vectara. He has extensive hands-on experience in machine learning, data science and big data systems across multiple industries, and has focused on developing products using large language models since 2019. Prior to Vectara, he built and led data science teams at Syntegra, Helix, Lendup, Hortonworks, and Yahoo! Ofer holds a B.Sc. in computer science from Technion and M.Sc. in EE from Tel Aviv university, and is the author of "Practical data science with Hadoop" (Addison Wesley).
Forrest Sheng Bao co-leads the Machine Learning team at Vectara. He has over 10+ years of research experience in the areas of Artificial Intelligence (AI) and Natural Language Processing (NLP). Prior to Vectara, he was an assistant professor at Iowa State University. Forrest holds a PhD in computer science with a minor in electrical engineering from Texas Tech University.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Hands-On RAG for Production: Design, Develop, and Deploy...
Foto dell'editore
Hands-On RAG for Production
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9798341621718
Compra nuovo
EUR 51,00
Spedizione EUR 5,98
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 15 disponibili
Immagini fornite dal venditore
Hands-On RAG for Production
Da: Rarewaves USA, HEBRON, KY, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications.Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they'll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them.Determine whether to build RAG yourself or deploy a RAG-as-a-service platformBuild a basic RAG stack that maximizes performance and cost-effectivenessMeasure key metrics such as hallucinations, response quality, latency, and costAddress challenges in enterprise deployment, such as compliance with data security and privacy requirements, explainability, and prompt designImplement advanced techniques such as multimodal RAG, agentic RAG, and GraphRAG. Codice articolo LU-9798341621718
Compra nuovo
EUR 60,51
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Hands-On RAG for Production (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 5 su 5 stelle
Condizione: new. Codice articolo 9BFGHJ8BUH
Compra nuovo
EUR 56,17
Spedizione EUR 6,80
Spedito da Italia a U.S.A.
Spedito da Italia a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9798341621718
Compra nuovo
EUR 64,23
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Hands-On RAG for Production (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications.Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they'll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them.Determine whether to build RAG yourself or deploy a RAG-as-a-service platformBuild a basic RAG stack that maximizes performance and cost-effectivenessMeasure key metrics such as hallucinations, response quality, latency, and costAddress challenges in enterprise deployment, such as compliance with data security and privacy requirements, explainability, and prompt designImplement advanced techniques such as multimodal RAG, agentic RAG, and GraphRAG Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798341621718
Compra nuovo
EUR 65,23
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Hands-On RAG for Production
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications.Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they'll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them.Determine whether to build RAG yourself or deploy a RAG-as-a-service platformBuild a basic RAG stack that maximizes performance and cost-effectivenessMeasure key metrics such as hallucinations, response quality, latency, and costAddress challenges in enterprise deployment, such as compliance with data security and privacy requirements, explainability, and prompt designImplement advanced techniques such as multimodal RAG, agentic RAG, and GraphRAG. Codice articolo LU-9798341621718
Compra nuovo
EUR 69,20
Spedizione gratuita
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications
Da: Russell Books, Victoria, BC, Canada
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: New. Special order direct from the distributor. Codice articolo ING9798341621718
Compra nuovo
EUR 73,39
Spedizione EUR 17,81
Spedito da Canada a U.S.A.
Spedito da Canada a U.S.A.
Quantità: 5 disponibili
Foto dell'editore
HANDS-ON RAG FOR PRODUCTION
Da: Speedyhen, Hertfordshire, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: NEW. Codice articolo NW9798341621718
Compra nuovo
EUR 52,67
Spedizione EUR 48,84
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 7 disponibili
Immagini fornite dal venditore
Hands-On RAG for Production
Da: Rarewaves USA United, HEBRON, KY, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications.Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they'll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them.Determine whether to build RAG yourself or deploy a RAG-as-a-service platformBuild a basic RAG stack that maximizes performance and cost-effectivenessMeasure key metrics such as hallucinations, response quality, latency, and costAddress challenges in enterprise deployment, such as compliance with data security and privacy requirements, explainability, and prompt designImplement advanced techniques such as multimodal RAG, agentic RAG, and GraphRAG. Codice articolo LU-9798341621718
Compra nuovo
EUR 63,01
Spedizione EUR 44,54
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Hands-On RAG for Production : Design, Develop, and Deploy Production-Ready RAG Applications
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware - Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications. Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they'll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them. - Determine whether to build RAG yourself or deploy a RAG-as-a-service platform - Build a basic RAG stack that maximizes performance and cost-effectiveness - Measure key metrics such as hallucinations, response quality, latency, and cost - Address challenges in enterprise deployment, such as compliance with data security and privacy requirements, explainability, and prompt design - Implement advanced techniques such as multimodal RAG, agentic RAG, and GraphRAG. Codice articolo 9798341621718
Compra nuovo
EUR 77,33
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili