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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

2.1 Gemini Model Architecture Deep Dive 2.2 Multimodal Reasoning in Gemini 2.3 API Versioning and Compatibility 2.4 Authentication and Authorization Basics 2.5 Rate Limiting and Quotas 2.6 Endpoint Types: Chat, Upload, Query 2.7 Handling Modalities: Text, Image, Audio, Video 2.8 Prompt Context Handling Across Modalities 2.9 Tool Invocation Capabilities 2.10 Guardrails and Content Safety for Gemini 2.11 Data Privacy in Gemini Flows 2.12 SDKs and Client Libraries 2.13 Latency Characteristics of Multimodal Requests 2.14 Testing Gemini Integrations 2.15 Version Migration Strategies

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

Courses/Building Real-Time RAG Systems with Gemini & the Multimodal Live API/Gemini Fundamentals: Architecture and Multimodal Capabilities

Gemini Fundamentals: Architecture and Multimodal Capabilities

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Dive into Gemini's model architecture, multimodal reasoning, and API ecosystem to understand how to harness its full potential.

Content

12 of 15

2.12 SDKs and Client Libraries

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