Sign-In
Cart
Vector Database & Rag Crash Course: A Fast-Track Guide to Building Modern Retrieval Systems, Multimodal Search, Agent Memory, and Production-Ready AI
Paperback
Currently unavailable to order
Please enter your email and a message will be sent to you when this product becomes available on our website.
Publisher: Independently Published
Published: Dec 17 2025
Pages: 226
Weight: 0.59
Height: 0.48 Width: 5.50 Depth: 8.50
Language: English
Modern AI systems no longer succeed on model size alone. The real competitive advantage now lies in how effectively systems retrieve, reason over, and ground knowledge at scale.
Vector Database & RAG Crash Course is a practical, engineering-first guide to building production-ready retrieval-augmented generation (RAG) systems powered by modern vector databases, multimodal embeddings, and agent memory architectures. Written for experienced developers, ML engineers, and AI practitioners, this book goes beyond theory to show how real-world AI systems are designed, optimized, secured, and deployed.
Unlike introductory books that stop at basic semantic search, this crash course dives deep into how retrieval actually works in production - from embedding generation and index design to query routing, hybrid search, observability, and enterprise-scale performance tuning. You will learn not just how to build RAG pipelines, but why certain architectural choices succeed or fail under real workloads.
Throughout the book, you will implement complete, runnable Python examples and progressively evolve them into robust, scalable retrieval systems. You will explore vector database internals, compare index types and storage models, integrate RAG with LangChain and LangGraph, and design persistent memory layers for intelligent agents. Advanced chapters cover multimodal retrieval, compression and reranking strategies, hybrid vector-keyword search, and techniques for scaling RAG across distributed environments.
Security, compliance, and reliability are treated as first-class concerns. You will learn how to defend against prompt injection, prevent data leakage, enforce governance constraints, and monitor retrieval quality in production. Each chapter connects technical implementation with real-world use cases, including enterprise assistants, automated research systems, and long-running agent workflows.
Whether you are building internal knowledge systems, customer-facing AI products, or autonomous agent platforms, this book equips you with the engineering patterns, architectural insight, and practical experience needed to design retrieval systems that actually work at scale.
What You Will LearnHow vector databases power modern semantic search and RAG systems
Embeddings, indexing strategies, and performance trade-offs
Designing end-to-end RAG pipelines for reliability and accuracy
Building multimodal retrieval systems across text, images, and more
Implementing persistent agent memory with vector stores
Advanced RAG techniques including reranking, compression, and hybrid search
Debugging, testing, and optimizing retrieval pipelines in production
Securing RAG systems against injection, leakage, and compliance risks
Scaling retrieval systems for enterprise and distributed environments
This book is written for software engineers, machine learning engineers, AI researchers, data scientists, and technical architects who already understand Python and modern AI concepts and want a deep, practical understanding of vector databases and retrieval-augmented generation in real production systems.
Also in
Databases
Seven Databases in Seven Weeks: A Guide to Modern Databases and the Nosql Movement
Redmond, Eric
Wilson, Jim
Perkins, Luc
Paperback
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Riccomini, Chris
Kleppmann, Martin
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Reis, Joe
Housley, Matt
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Ross, Margy
Kimball, Ralph
Paperback
Observability Engineering: Achieving Production Excellence
Majors, Charity
Fong-Jones, Liz
Miranda, George
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Learning Tableau 2025 - Sixth Edition: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights
Milligan, Joshua N.
Paperback
The Data Storyteller's Handbook: How to create business impact using data storytelling
Greenbrook, Kat
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Gedeck, Peter
Bruce, Peter
Bruce, Andrew
Paperback
Microsoft Power Bi Data Analyst Associate Study Guide: Prepare for the Pl-300 Exam and Use Power Bi Successfully
Turley, Paul
Paperback
Database Systems: Introduction to Databases and Data Warehouses, Edition 2.0
Jukic, Nenad
Vrbsky, Susan
Sharma, Abhishek
Paperback
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights
Tanimura, Cathy
Paperback
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Konieczny, Bartosz
Paperback
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Bonifield, James
Paperback
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Warren, Rachel
Karau, Holden
Polak, Adi
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Paperback
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Gutman, Alex J.
Goldmeier, Jordan
Paperback
Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Alhussein, Derar
Paperback
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Nestler, Scott
Pelechrinis, Konstantinos
Winston, Wayne L.
Paperback
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Shapira, Gwen
Palino, Todd
Sivaram, Rajini
Paperback
Observability Engineering: Achieving Production Excellence
Fong-Jones, Liz
Miranda, George
Majors, Charity
Paperback
Product Operations: How successful companies build better products at scale
Perri, Melissa
Tilles, Denise
Paperback
Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World
Hanegan, Kevin
Paperback
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Graesser, Laura
Keng, Wah Loon
Paperback
Data Contracts: Developing Production-Grade Pipelines at Scale
Sanderson, Chad
Schmidt, B. E.
Freeman, Mark
Paperback
High Performance Python: Practical Performant Programming for Humans
Gorelick, Micha
Ozsvald, Ian
Paperback
Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
Mauro, Andrea de
Paperback
Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform
Sreekumar, Kiran
Subbarao, Karthik
Paperback
SQL Cookbook: Query Solutions and Techniques for All SQL Users
Molinaro, Anthony
Graaf, Robert de
Paperback
ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale
Haelen, Bennie
Paperback
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing
Freeman, Eric
Robson, Elisabeth
Paperback
Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
Johansson, Robert
Paperback
Data Analytics & Visualization All-In-One for Dummies
McFedries, Paul
Massaron, Luca
Hyman, Jack A.
Paperback
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
Molin, Stefanie
Paperback
Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future
Govindarajan, Vijay
Venkatraman, Venkat
Hardcover
Kafka for Architects: Event-Driven Architecture, Logs, Microservices, Real-Time Event Processing
Gorshkova, Katya
Paperback
Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success
Seiner, Robert
Paperback
The Data Center as a Computer: Designing Warehouse-Scale Machines
Hölzle, Urs
Ranganathan, Parthasarathy
Barroso, Luiz André
Hardcover
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Yip, Jason
Gupta, Nikhil
Paperback
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Fritchey, Grant
Paperback
Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale
Ullah, Muhammad Fasih
Paperback
Learning Ransomware Response & Recovery: Stopping Ransomware One Restore at a Time
Preston, W. Curtis
Saylor, Michael
Paperback
Ai-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation
Sopirala, Srikanth
Shukla, Navnit
Pham, Kien
Paperback
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Hughes, Jason
Merced, Alex
Shiran, Tomer
Paperback
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema
Corr, Lawrence
Stagnitto, Jim
Paperback
Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World, 3rd Edition
Kent, William
Paperback
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Eager, Eric A.
Erickson, Richard a.
Paperback
Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies
Schönig, Hans-Jürgen
Paperback
Data Pipelines with Apache Airflow, Second Edition: Orchestration for Data and AI
Ruiter, Julian de
Cabral, Ismael
Geusebroek, Kris
Paperback
Real-Time Intelligence with Microsoft Fabric: Empowering Data-Driven Decisions in the Era of AI
Geisler, Frank
Brattã S. Johan Ludvig
Paperback
Apache Polaris: The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog
Madson, Andrew
Merced, Alex
Shiran, Tomer
Paperback
PostgreSQL 16 Administration Cookbook: Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Angelakos, Jimmy
Ciolli, Gianni
Mejías, Boriss
Paperback
Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes
Wentling, Tristen
Haines, Scott
Lee, Denny
Paperback
How to Interpret Data: Using Data to Improve Your Influence and Decision-Making
Kelly, Nicholas
Paperback
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems
Majumder, Bodhisattwa
Gupta, Anuj
Vajjala, Sowmya
Paperback
Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses
Wason, Prashant
Saktheeswaran, Bhavani Sudha
Xu, Shiyan
Paperback
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Navarro, Danielle
Foxcroft, David
Paperback
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Stephens-Davidowitz, Seth
Paperback
Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI
Ehrenmueller-Jensen, Markus
Paperback
Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
Borthen, Jay
Paperback
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Tibshirani, Robert
Friedman, Jerome
Hastie, Trevor
Hardcover
Learn PostgreSQL - Second Edition: Use, manage and build secure and scalable databases with PostgreSQL 16
Ferrari, Luca
Pirozzi, Enrico
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Dorsey, Dustin
Cyr, Cameron
Paperback
Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
Russa, Hélder
Machado, Rui
Paperback
SQL for Data Analytics - Fourth Edition: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Goldwasser, Matt
Shan, Jun
Li, Haibin
Paperback
Big Data in Der Mobilität: Akteure, Geschäftsmodelle Und Nutzenpotenziale Für Die Welt Von Morgen
Müller-Peters, Horst
Gatzert, Nadine
Knorre, Susanne
Paperback
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools
Janssens, Jeroen
Paperback
Statistics Every Programmer Needs: Practical Python Implementations and Quantitative Methods
Sutton, Gary
Paperback
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Crickard, Paul
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
The Data Product Playbook: Designing and Delivering Data Products that Power Decisions, Analytics, and AI
Koenders, Willem
Paperback
Data Governance Change Management: From Drift to Direction-Why Every Data Leader Needs an ANCHOR
Agrawal, Aakriti
Agrawal, Arvind
Paperback
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Kalavri, Vasiliki
Hueske, Fabian
Paperback
Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
McMahan, Brian
Rao, Delip
Paperback
The Expert's Guide to SQL Server: Tuning, Security, and Cloud Migration
Andiappan, Petchikumar
Pasam, Venkata Reddy
Paperback
Microsoft Power Bi Visual Calculations: Simplifying Dax
Lelijveld, Marc
Ter Heerdt, Jeroen
Stikkelorum, Madzy
Paperback
SQL in a Week: A Fast-Track Guide to Writing and Optimizing Queries Like a Pro
Shah, Bhumika
Dubey, Devtosh
Paperback
R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
Kabacoff, Robert I.
Paperback
SAP S/4hana Financial Accounting Certification Guide: Application Associate Exam
Pougkas, Stefanos
Paperback
A Friendly Guide to Data Science: Everything You Should Know about the Hottest Field in Tech
Vincent, Kelly P.
Paperback
iPhone 11 Pro Max Guide: Learn Step-By-Step How To Use Your iPhone Pro Max Step-By-Step
Meyer, Albrecht
Paperback
Blockchain Basics: A Non-Technical Introduction in 25 Steps + 5 Steps Beyond the Basics
Drescher, Daniel
Paperback
PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries
Dombrovskaya, Henrietta
Bailliekova, Anna
Database Expert
Paperback
Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness
Lakshmanan, Valliappa
Eryurek, Evren
Gilad, Uri
Paperback
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Teate, Renee M. P.
Paperback
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
Lakshmanan, Valliappa
Paperback
The Elephant in the Fridge: Guided Steps to Data Vault Success through Building Business-Centered Models
Giles, John
Paperback
Mastering PostgreSQL Administration: Internals, Operations, Monitoring, and Oracle Migration Strategies
Kadambari, Phani
Ravi Kumar, Y. V.
Samayam, Arun Kumar
Paperback
The Data Management Workbook: Practical Exercises for Better Organization, Storage and Use of Your Research Data
Briney, Kristin
Paperback
The Definitive Guide to Microsoft Fabric: From discovery to building a unified, secure, and scalable data platform
Riehl, Jean-Pierre
Maneu, Christopher
Beau, Emilie
Paperback