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RAG-Driven Generative AI. Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai - Second Edition
Denis Rothman
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Stop moving your data to the AI. This second edition defines a revolutionary architectural shift: bringing the AI to the data. By using Oracle Database 23ai as a converged engine in this book, you will architect Sovereign AI systems that eliminate the fragmentation, latency, and massive security risks inherent in traditional data extraction.
You’ll work with DualRAG, synchronizing unstructured vector semantics with the deterministic truth of structured SQL, Graph, and Spatial retrieval. This allows your systems to reason over verified corporate data rather than probabilistic guesses, reducing hallucinations at the source. Moving beyond simple pipelines, you’ll also build MAS-RAG (multi-agent systems for RAG), where autonomous agents coordinate across hybrid retrieval workflows, multimodal video pipelines, and graph-based knowledge structures.
Designed for developers and architects, these blueprints transform disconnected data silos into a unified engine to architect autonomous enterprise intelligence that scales with RLHF and model fine-tuning. By the end of the book, you’ll be able to design and deploy enterprise AI systems that combine retrieval, reasoning, and structured data to build reliable generative AI applications.
*Email sign-up and proof of purchase required
You’ll work with DualRAG, synchronizing unstructured vector semantics with the deterministic truth of structured SQL, Graph, and Spatial retrieval. This allows your systems to reason over verified corporate data rather than probabilistic guesses, reducing hallucinations at the source. Moving beyond simple pipelines, you’ll also build MAS-RAG (multi-agent systems for RAG), where autonomous agents coordinate across hybrid retrieval workflows, multimodal video pipelines, and graph-based knowledge structures.
Designed for developers and architects, these blueprints transform disconnected data silos into a unified engine to architect autonomous enterprise intelligence that scales with RLHF and model fine-tuning. By the end of the book, you’ll be able to design and deploy enterprise AI systems that combine retrieval, reasoning, and structured data to build reliable generative AI applications.
*Email sign-up and proof of purchase required
- 1. Why Retrieval-Augmented Generation?
- 2. RAG Embeddings in Oracle Vector Stores
- 3. Building a Live Recruiter Agent
- 4. Building Sovereign Enterprise Agents
- 5. Building a Universal Context Engine
- 6. Operationalizing the Universal Context Engine
- 7. Empowering AI Models by Fine-Tuning RAG Data
- 8. Boosting RAG Performance with Human Feedback
- 9. Building a Conversational RAG Agent
- 10. Building an Agent with Spatial-RAG and GraphRAG
- 11. Scaling AI Workloads with Oracle Exadata
- 12. The Autonomous Database Architect
- Tytuł:RAG-Driven Generative AI. Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai - Second Edition
- Autor:Denis Rothman
- Tytuł oryginału:RAG-Driven Generative AI. Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai - Second Edition
- ISBN:9781807424947, 9781807424947
- Data wydania:2026-04-17
- Format:Ebook - EPUB
- Identyfikator pozycji: e_4yse
- Wydawca: Packt Publishing
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