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Author: Akın Vural • 2026 Edition

ENTERPRISE ARTIFICIAL INTELLIGENCE

Architecting the Future with LLMs, Enterprise RAG, and Autonomous AI Agents

Quick Executive Summary

A definitive blueprint engineering AI not as toy chat interfaces, but as core enterprise muscle compressing operational overhead by 60% and driving AI search primacy.

✓ Author: Akın Vural✓ 420 Pages✓ PDF + ePub + GitHub Codebase
$20$7975% Launch Discount

Lifetime updates included • Instant download

4.9/5 (184 Reviews)
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Enterprise Artificial Intelligence Book Cover — Akın Vural ($20)
📘 420 Pages PDF & ePub💻 50+ Python / TS Repos⚡ 2026 Model Benchmarks
Why Read This Book?

Zero Fluff, Battle-Tested Enterprise AI Engineering

Synthesized from dozens of mission-critical production rollouts across Fortune-tier enterprises.

Executable Code Repositories

All pipelines, vector indexing recipes, and multi-agent loops are immediately runnable from GitHub.

Frontier Model Comparative Runtimes

Comparative benchmarks covering DeepSeek-R1, Claude 3.7 Sonnet, and private on-premise Llama 3.

Air-Gapped Privacy & Governance

Air-gapped deployment blue-prints, ISO 42001 governance policies, and deterministic guardrail architectures.

Syllabus & Chapters

7 Chapters to Enterprise Mastery

From foundation reasoning primitives to advanced agentic loops and GEO dominance.

1

Foundations of AI & Transformer Architectures

54 pages
Attention Mechanisms & Tokenization Mechanics
Open-Source (DeepSeek, Llama 3) vs. Proprietary (Claude, GPT-4o)
Compute Requirements: FP8, INT4 Quantization & VRAM Calculations
2

Master-Level Corporate Prompt Engineering

62 pages
Few-Shot, Chain-of-Thought (CoT), and ReAct Frameworks
Eliminating 95% of Hallucinations via System Grounding
Structured Output Formats: Strict JSON and XML Schemas
3

Enterprise RAG & Vector Database Engineering

78 pages
Semantic Chunking Strategies & Dense Retrieval
Hybrid Search with Qdrant, Pinecone & Milvus (BM25 + Dense)
Reranking Pipelines with Cohere & BGE Embeddings
4

Autonomous Multi-Agent Orchestration

68 pages
Role-Based Agent Graphs with LangGraph and CrewAI
Cyclic Decision Trees and Self-Healing Debugging Loops
Secured Sandboxes Interacting with Terminals and File Systems
5

On-Premise Model Deployment & GPU Optimization

52 pages
High Throughput Inference with vLLM & Ollama
Containerizing AI Services on Kubernetes & Triton
When Do You Need LoRA / QLoRA Fine-Tuning?
6

Generative Engine Optimization (GEO) Strategies

56 pages
The Inner Algorithms of Perplexity & ChatGPT Search
Entity-Graph JSON-LD and Verified Evidence Blocks
Measuring and Dominating LLM Share-of-Voice (SOV)
7

Enterprise AI ROI Modeling & Security Guardrails

50 pages
Mathematical ROI Modeling for Enterprise AI Initiatives
Guardrails Against Prompt Injection & Data Leakage
ISO 42001 & GDPR Compliant Internal AI Framework
Akın Vural — Author Bio
Book Author

Akın Vural

Founder & Chief AI Architect at Garides

Senior software & AI systems architect with 15+ years of experience in LLM pipelines, autonomous multi-agent systems, and enterprise RAG infrastructures. Has spearheaded 40+ corporate AI transformations across EMEA.

Instant Access

Arm Your Enterprise with Frontier AI Architecture

420-page digital volume, 50+ prompt templates, and executable Python/TypeScript GitHub repositories in your inbox instantly.

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