Artículo: AMZ-B0FQ485VH3

Building Graph-RAG Pipelines: Real-World Integration, Continuous Updates, and Scalable Maintenance for Enterprise AI Systems (Next-Generation RAG ... Pipelines to Graph-Enhanced Enterprise AI)

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En stock

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0.31 kg

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Sí

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Amazon

Sobre este producto

Foundations of Graph-RAG: Core patterns that blend graph traversal with vector search for precise, evidence-backed responses.
Knowledge Graphs as the Backbone: Modeling entities, relationships, and provenance to make reasoning explicit.
Data Ingestion & Preparation: Multi-source pipelines, schema alignment, and cleaning strategies that hold up in production.
Core Pipeline Build: Orchestrating graph queries with embeddings and hybrid search that balances recall and precision.
Real-World Integration: Connecting to legacy systems, event streams, and middleware without disrupting operations.
Continuous Updates: Incremental indexing, CDC, and automation to keep answers current.
Scaling & Optimization: Load balancing, distributed architectures, cost control, and performance monitoring.
Explainability & Governance: Access control, auditability, and ethical safeguards that satisfy risk and compliance.
Maintenance & Lifecycle: Observability, self-healing, and technical-debt mitigation for long-term reliability.
Case Studies & Future Directions: Healthcare and finance examples, plus where graph-augmented enterprise AI is heading.

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$73,39

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Building Graph-RAG Pipelines: Real-World Integration, Continuous Updates, and Scalable Maintenance for Enterprise AI Systems (Next-Generation RAG ... Pipelines to Graph-Enhanced Enterprise AI)

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Building Graph-RAG Pipelines: Real-World Integration, Continuous Updates, and Scalable Maintenance for Enterprise AI Systems (Next-Generation RAG ... Pipelines to Graph-Enhanced Enterprise AI)

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