Multimodal RAG with Gemini Embedding 2

From Multimodal RAG with Gemini Embedding 2

Table of Contents

4 of 21 chapters available · Premium unlocks the rest

• 1 Legal Notices
• 2 About This Book
• 3 Part I: Foundations
• 4 Chapter 1: Orientation to Multimodal RAG
• 5 Chapter 2: Project Setup, API Surfaces, and Secure Configuration
• 6 Chapter 3: Gemini Embedding 2 Fundamentals and Production Defaults
• 7 Part II: Embedding Pipelines
• 8 Chapter 4: Text and PDF Ingestion with Caching and Batch Embedding
• 9 Chapter 5: Image and Interleaved Multimodal Embedding
• 10 Chapter 6: Audio and Video Segment Embedding
• 11 Part III: Indexing and Retrieval
• 12 Chapter 7: Qdrant Indexing for Unified Multimodal Search
• 13 Chapter 8: Building a Tenant-Aware Retrieval API
• 14 Chapter 9: Hybrid Search, Reranking, Agentic Retrieval, and Grounding Assembly
• 15 Part IV: Evaluation and Operations
• 16 Chapter 10: Retrieval Evaluation and Regression Testing
• 17 Chapter 11: Scaling, Cost Modeling, Observability, and Rebuild Strategy
• 18 Chapter 12: Vertex AI Deployment and Managed File Search Decisions
• 19 Next Steps
• 20 Part V: Review Questions
• 21 Answer Key