Artículos relacionados a Hands-On RAG for Production: Design, Develop, and Deploy...
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications - Tapa blanda
Sinopsis
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
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca de los autores
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Resultados de la búsqueda para Hands-On RAG for Production: Design, Develop, and Deploy...
Imagen de archivo
Hands-On RAG for Production
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9798341621718
Comprar nuevo
EUR 51,00
Envío por EUR 5,98
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 15 disponibles
Imagen del vendedor
Hands-On RAG for Production
Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: LU-9798341621718
Comprar nuevo
EUR 60,51
Gastos de envío gratis
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Hands-On RAG for Production (eng)
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
Calificación del vendedor: 5 de 5 estrellas
Condición: new. Nº de ref. del artículo: 9BFGHJ8BUH
Comprar nuevo
EUR 56,17
Envío por EUR 6,80
Se envía de Italia a Estados Unidos de America
Se envía de Italia a Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9798341621718
Comprar nuevo
EUR 64,23
Gastos de envío gratis
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Hands-On RAG for Production (Paperback)
Impresión bajo demandaLibrería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9798341621718
Comprar nuevo
EUR 65,23
Gastos de envío gratis
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen del vendedor
Hands-On RAG for Production
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: LU-9798341621718
Comprar nuevo
EUR 69,20
Gastos de envío gratis
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 4 disponibles
Imagen de archivo
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications
Librería: Russell Books, Victoria, BC, Canada
Calificación del vendedor: 5 de 5 estrellas
paperback. Condición: New. Special order direct from the distributor. Nº de ref. del artículo: ING9798341621718
Comprar nuevo
EUR 73,39
Envío por EUR 17,81
Se envía de Canada a Estados Unidos de America
Se envía de Canada a Estados Unidos de America
Cantidad disponible: 5 disponibles
Imagen de archivo
HANDS-ON RAG FOR PRODUCTION
Librería: Speedyhen, Hertfordshire, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: NEW. Nº de ref. del artículo: NW9798341621718
Comprar nuevo
EUR 52,67
Envío por EUR 48,84
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 7 disponibles
Imagen del vendedor
Hands-On RAG for Production
Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: LU-9798341621718
Comprar nuevo
EUR 63,01
Envío por EUR 44,54
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Hands-On RAG for Production : Design, Develop, and Deploy Production-Ready RAG Applications
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9798341621718
Comprar nuevo
EUR 77,33
Envío por EUR 35,00
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 2 disponibles