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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

15Extending Gemini with Custom Tools and Plugins

15.1 Plugin Architecture Overview 15.2 Tool Invocation Patterns 15.3 Building Custom Tools for Gemini 15.4 Secure Tool Sandboxing 15.5 Tool Routing and Orchestration 15.6 Tool Result Validation 15.7 Caching Tool Results 15.8 Tool Versioning and Compatibility 15.9 Third-Party Tool Marketplace Integration 15.10 Tool Lifecycle and Release Management 15.11 Permissions and Access Control for Tools 15.12 Monitoring Tool Latency and Reliability 15.13 Safety and Guardrails for Tools 15.14 Data Sanitization in Tool Outputs 15.15 Tool Chaining and Orchestration

Courses/Building Real-Time RAG Systems with Gemini & the Multimodal Live API/Extending Gemini with Custom Tools and Plugins

Extending Gemini with Custom Tools and Plugins

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Learn how to extend Gemini with custom tools, plugins, and safe integrations to boost capability and automation.

Content

1 of 15

15.1 Plugin Architecture Overview

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