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Mastering retrieval-augmented generation = advanced techniques and production-ready solutions for enterprise AI /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mastering retrieval-augmented generation/ by Ranajoy Bose.
Reminder of title:	advanced techniques and production-ready solutions for enterprise AI /
Author:	Bose, Ranajoy.
Published:	Berkeley, CA :Apress : : 2025.,
Description:	xxxix, 820 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I: Foundations -- Chapter 1: Introduction to Retrieval-Augmented Generation (RAG) -- Chapter 2: Core Concepts of Retrieval-Augmented Generation (RAG) -- Chapter 3: Building a Retrieval-Augmented Generation (RAG) Application -- Part II: Core Components -- Chapter 4: Document Loaders: The Gateway to Knowledge -- Chapter 5: Text Splitters in RAG Systems -- Chapter 6: Embedding Models: Converting Text to Vectors -- Chapter 7: Vector Stores: Organizing and Retrieving Your Knwledge -- Chapter 8: Retrievers: Finding the Most Relevant Information -- Part III: Advanced Implementation -- Chapter 9: Prompt Templates: The Communication Experts that Structure Interactions with the LLM -- Chapter 10: RAG in Action: Advanced Patterns for Unstructured Data -- Chapter 11: RAG for Structured Data: Building Question-Answering Systems for SQL Databases and CSV Files -- Chapter 12: Graph RAG: Leveraging Knowledge Graphs for Enhanced Retrieval -- Chapter 13: Agentic RAG: Building Autonomous Information Systems -- Part IV: Production and Evaluation -- Chapter 14: RAG Evaluation: Measuring Quality and Performance.
Contained By:	Springer Nature eBook
Subject:	Natural language processing (Computer science) -
Online resource:	https://doi.org/10.1007/979-8-8688-1808-0
ISBN:	9798868818080

Mastering retrieval-augmented generation = advanced techniques and production-ready solutions for enterprise AI /
Bose, Ranajoy.

Mastering retrieval-augmented generationadvanced techniques and production-ready solutions for enterprise AI /[electronic resource] :by Ranajoy Bose. - Berkeley, CA :Apress :2025. - xxxix, 820 p. :ill., digital ;24 cm.

Part I: Foundations -- Chapter 1: Introduction to Retrieval-Augmented Generation (RAG) -- Chapter 2: Core Concepts of Retrieval-Augmented Generation (RAG) -- Chapter 3: Building a Retrieval-Augmented Generation (RAG) Application -- Part II: Core Components -- Chapter 4: Document Loaders: The Gateway to Knowledge -- Chapter 5: Text Splitters in RAG Systems -- Chapter 6: Embedding Models: Converting Text to Vectors -- Chapter 7: Vector Stores: Organizing and Retrieving Your Knwledge -- Chapter 8: Retrievers: Finding the Most Relevant Information -- Part III: Advanced Implementation -- Chapter 9: Prompt Templates: The Communication Experts that Structure Interactions with the LLM -- Chapter 10: RAG in Action: Advanced Patterns for Unstructured Data -- Chapter 11: RAG for Structured Data: Building Question-Answering Systems for SQL Databases and CSV Files -- Chapter 12: Graph RAG: Leveraging Knowledge Graphs for Enhanced Retrieval -- Chapter 13: Agentic RAG: Building Autonomous Information Systems -- Part IV: Production and Evaluation -- Chapter 14: RAG Evaluation: Measuring Quality and Performance.

ISBN: 9798868818080

Standard No.: 10.1007/979-8-8688-1808-0doiSubjects--Topical Terms:

565309
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

Mastering retrieval-augmented generation = advanced techniques and production-ready solutions for enterprise AI /
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505 0 $a Part I: Foundations -- Chapter 1: Introduction to Retrieval-Augmented Generation (RAG) -- Chapter 2: Core Concepts of Retrieval-Augmented Generation (RAG) -- Chapter 3: Building a Retrieval-Augmented Generation (RAG) Application -- Part II: Core Components -- Chapter 4: Document Loaders: The Gateway to Knowledge -- Chapter 5: Text Splitters in RAG Systems -- Chapter 6: Embedding Models: Converting Text to Vectors -- Chapter 7: Vector Stores: Organizing and Retrieving Your Knwledge -- Chapter 8: Retrievers: Finding the Most Relevant Information -- Part III: Advanced Implementation -- Chapter 9: Prompt Templates: The Communication Experts that Structure Interactions with the LLM -- Chapter 10: RAG in Action: Advanced Patterns for Unstructured Data -- Chapter 11: RAG for Structured Data: Building Question-Answering Systems for SQL Databases and CSV Files -- Chapter 12: Graph RAG: Leveraging Knowledge Graphs for Enhanced Retrieval -- Chapter 13: Agentic RAG: Building Autonomous Information Systems -- Part IV: Production and Evaluation -- Chapter 14: RAG Evaluation: Measuring Quality and Performance.
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