Books
- Redis for AI Applications: Building Fast, Intelligent SystemsA Practical Guide to Caching, Vector Search, RAG, LLM Integration, and Production Deployment with PythonSteve Publications
Build smarter AI applications with Redis at the core. This practical guide shows you how to use vector search, RAG, semantic caching, agent memory and real-time inference to create fast, scalable systems. With runnable Python examples throughout, you’ll learn how to take AI projects from prototype to production.
- Failure-First AI AgentsA Practical Field Guide to Evaluating RAG, Tool Use, Memory, and Multi-Agent Systemsstorymaker
A hands-on, failure-first guide to evaluating LLM agents, RAG, tool use, grounding, and production release gates—with executable Python examples and tests.
Build powerful AI agents that run entirely on your own hardware with Ollama. Learn practical patterns for RAG, multi-agent systems, security and deployment through clear explanations and production-ready code you can use right away. From first setup to reliable real-world applications, this book helps you build with confidence.
- AI for Financial Risk, Compliance and Regulatory ReportingProduction Systems and Architecture for Modern BankingSreedhara Reddy Kotha
A £4.1M PRA compliance failure. A fictional bank called Avon & Wessex. Sixteen chapters and 23 systems showing exactly how to build production-grade, auditable AI for credit, market, operational and liquidity risk, model governance, and regulatory reporting — the practitioner's guide UK banking has been missing.
- Beyond "Chunk and Pray"Building Trustworthy RAG with Geometric Knowledge GraphsAgus Sudjianto and Wing Yan Lau
Top-k is not relevance, retrieved text is not evidence and an LLM judging another LLM is not verification. Beyond “Chunk and Pray” shows how to build RAG that answers through a verified knowledge graph, preserves exact numbers, cites its sources and abstains when it cannot prove the answer.
- Agent Engineering with GeminiBook 1: Build an Inspectable Agent MVP with Gemini, ADK, and AntigravityVenkatesh Tadinada
Move beyond agent demos and learn to engineer reliable AI systems with Gemini, ADK, and Antigravity. Build the WidgetWare SDR while mastering context, tools, skills, structured workflows, evidence-backed research, multi-agent coordination, human approval, evaluation, deployment, and controlled loops. Includes all future Early Access update
- The Prompting PlaybookA Definitive Guide to Mastering Human–AI Communication with Large Language ModelsSteve Publications
Whether you are new to AI or building advanced applications, The Prompting Playbook gives you the knowledge and practical techniques to communicate effectively with large language models. Packed with research-backed insights, real-world examples and actionable guidance, it helps you get better results from AI with confidence.
Large language models are changing the world, yet few people understand how they actually work. This book cuts through the hype, explaining the ideas behind modern AI with clarity, precision, and no unnecessary jargon.
- Mastering Qdrant for RAG ApplicationsBuilding Production Vector Search Systems with the Open-Source Vector DatabaseSteve Publications
Mastering Qdrant for RAG Applications is your practical guide to building production-ready RAG systems with the leading open-source vector database. Learn how to design, optimize, and scale high-performance vector search using Qdrant through clear explanations, real-world examples, and hands-on code.
- Production-Grade RAG with C# and .NETBuilding Retrieval-Augmented Generation Systems with C#, the Microsoft Agent Framework, and AzureRachid DAHIR
Build production-grade RAG systems in C# — from an 80-line Hello World to a fully deployed Azure pipeline with the Microsoft Agent Framework, MCP, GraphRAG, multi-agent orchestration, eval gates, and EU AI Act-ready audit trails. 682 pages, 25 chapters, one evolving enterprise project, every line of code runnable in .NET 10.
