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Building Real-Time RAG Systems with Gemini & the Multimodal Live API

Chapters

1Foundations of Real-Time Retrieval-Augmented Generation

2Gemini Fundamentals: Architecture and Multimodal Capabilities

3Data Sources and Vector Stores for Real-Time RAG

4Real-Time Ingestion and Streaming Data Pipelines

5The Multimodal Live API: Authentication, Endpoints, and Workflows

6Prompt Engineering for RAG with Gemini

7Memory and Context Management in Real-Time RAG

8Latency, Throughput, and Quality of Service

9Security, Privacy, and Compliance in RAG Systems

10Evaluation, Metrics, and A/B Testing for RAG

11Deployment and Orchestration: Cloud and Edge

12Case Studies: Real-World RAG Scenarios

13Advanced Retrieval Techniques: Hybrid Search and Re-ranking

14Observability: Monitoring, Logging, and Debugging

14.1 Observability Dashboard Design 14.2 Tracing Spans and Propagation 14.3 Metrics Collection and Instrumentation 14.4 Log Aggregation and Analysis 14.5 Alerting and Incident Response 14.6 SLOs and SLI Definitions 14.7 Distributed Tracing Standards (OpenTelemetry)14.8 Debugging Multimodal Pipelines 14.9 Fault Injection and Chaos Testing 14.10 Dashboards for Real-Time RAG 14.11 Anomaly Detection in System Telemetry 14.12 Observability for Data Quality 14.13 Telemetry Cost Management 14.14 Tracing in Edge Environments 14.15 Observability Maturity and Best Practices

15Extending Gemini with Custom Tools and Plugins

Courses/Building Real-Time RAG Systems with Gemini & the Multimodal Live API/Observability: Monitoring, Logging, and Debugging

Observability: Monitoring, Logging, and Debugging

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Establish end-to-end observability to monitor, debug, and improve real-time RAG pipelines.

Content

15 of 15

14.15 Observability Maturity and Best Practices

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