Quick favor — Amazon review

I hope you’re enjoying Enterprise RAG Strategies Book.

If you found it useful, could you take 1 minute to leave an honest Amazon review? It would really help the book reach more AI practitioners.

⭐ Leave a review:
https://www.amazon.com/review/create-review/?ie=UTF8&channel=glance-detail&asin=B0HFH2JNMK

.

👉 Link to Book
https://a.co/d/0dBRCb7F

What’s Inside

Part I — About

01 About the Author

Part II — RAG & the Reference Architecture

02 The Evolution of RAG
03 Foundations of RAG Systems
04 Reference Architecture

Part III — Data Extraction

05 Data Extraction

Part IV — Chunking

06 Chunking Strategies

Part V — RAG Strategies

07 Baseline RAG Pipeline
08 Context-Aware RAG
09 Dynamic RAG
10 Hybrid RAG
11 Multi-Stage Retrieval
12 Graph-Based RAG
13 Hierarchical RAG
14 Agentic RAG
15 Multi-Agent RAG Systems
16 Streaming RAG

Part VI — Memory & Content Management

17 Memory-Augmented RAG
18 Knowledge Graph Integration

Part VII — Evaluation

19 Evaluation Metrics
20 Synthetic Data Generation

Part VIII — Fine-Tuning

21 Domain-Specific Fine-Tuning

Part IX — Security

22 Privacy & Compliance in RAG

Part X — Production

23 Real-Time Evaluation & Monitoring
24 Human-in-the-Loop RAG

Part XI — Twig RAG Strategies

25 RAG Strategies in Twig

Part XII — Conclusion

26 Conclusion & Future Directions