1. Cover
  2. License
  3. About the Author
  4. Chapter 1: Getting Started with SingleStore
  5. Part 1: Multi-Model
  6. Chapter 2: Time Series Data
  7. Chapter 3: Geospatial Data
  8. Chapter 4: JSON Data
  9. Chapter 5: Full-Text Index and Search
  10. Chapter 6: Vector Data
  11. Part 2: Streaming and Big Data Pipelines
  12. Chapter 7: Apache Spark
  13. Chapter 8: Apache Kafka
  14. Chapter 9: Change Data Capture
  15. Part 3: Machine Learning
  16. Chapter 10: Building Predictive Analytics for Loan Approvals
  17. Chapter 11: Fraud Detection
  18. Chapter 12: Image Classification
  19. Chapter 13: Movie Recommender System
  20. Chapter 14: Agriculture Analytics Using R
  21. Chapter 15: Crime Analytics with SingleStore Kai
  22. Chapter 16: Running Sentiment Analysis inside the Database with WebAssembly
  23. Chapter 17: Feature Store with Feast
  24. Part 4: AI and Agentic Frameworks
  25. Chapter 18: Using LangChain to Build Intelligent Data Applications
  26. Chapter 19: Using LlamaIndex Workflows
  27. Chapter 20: Multimodal RAG - Working with Text, Images and Audio
  28. Chapter 21: Running Local LLMs with Ollama
  29. Chapter 22: Using MCP for Real-Time Data Access
  30. Chapter 23: Agentic Patterns with SingleStore
  31. Chapter 24: Conclusions

The SingleStore Cookbook

Cover