What happens when you combine Apollo program data with modern AI tools? You unlock a whole new way to explore one of humanity’s greatest adventures!

In this session, I’ll show you how I used Redis OM Spring and Spring AI to:

- Enhance search with vector embeddings, making sense of mission transcripts and images.
- Dive into chunking, summarization, and extraction to improve retrieval precision
- Explore how RAG (Retrieval-Augmented Generation) enhances answers by grounding LLM responses in real Apollo data
- See how Semantic Cache reduces cost while speeding up searches.

Don’t know what embeddings, RAG, or vector databases are? No worries—I’ll break it all down and show you how it works.

Come for the Moon missions, stay for the AI magic, and leave ready to build your own intelligent search experiences!

https://speakerdeck.com/raphaeldelio/rediscovering-apollo-11-using-spring-ai-plus-redis-om-spring-to-explore-the-mission-to-the-moon

https://www.meetup.com/amsterdam-java-user-group/events/305160853/

https://www.meetup.com/utrecht-java-user-group/events/305047045/