Explore

Chat Pricing Ways to Learn About

jypi

About Us
Our Mission
Team
Careers

Resources

Pricing
Ways to Learn
Blog
Help Center
Community Guidelines
Contributor Guide

Legal

Terms of Service
Privacy Policy
Cookie Policy
Content Policy

Connect

Twitter
Discord
Instagram
Contact Us

jypi

© 2026 jypi. All rights reserved.

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

11.1 Kubernetes-Based Deployment Patterns 11.2 Containerization with Docker and OCI 11.3 Orchestrating Real-Time Pipelines 11.4 CI/CD for AI Services 11.5 Infrastructure as Code (Terraform, Pulumi)11.6 Edge Deployment Considerations 11.7 Hybrid Cloud Architectures 11.8 Rollouts, Canary Deployments, and Rollbacks 11.9 Telemetry-Driven Auto-Scaling 11.10 Secrets Management in Orchestration 11.11 Service Mesh and Secure Service Communication 11.12 Observability in Orchestrated Environments 11.13 Disaster Recovery for AI Services 11.14 Cost-Aware Orchestration 11.15 Data Locality and Compliance

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/Deployment and Orchestration: Cloud and Edge

Deployment and Orchestration: Cloud and Edge

5 views

Strategies for deploying RAG systems at scale, including containerization, Kubernetes, edge compute, and CI/CD pipelines.

Content

1 of 15

11.1 Kubernetes-Based Deployment Patterns

Original version

5 views

Versions:

Version 17129

Chapter Study

Unlock this content

Sign up free to view this chapter, save your progress, and unlock study modes.

Full chapters & explanations
Flashcards & practice
Track progress

Sign in Create free account

0 comments

Speed Challenge

Comments (0)

Please sign in to leave a comment.

No comments yet. Be the first to comment!

Ready to practice?

Sign up now to study with flashcards, practice questions, and more — and track your progress on this topic.

Study with flashcards, timelines, and more

Earn certificates for completed courses

Bookmark content for later reference

Track your progress across all topics