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What happens when you combine the Apollo program data with modern AI tools?

Redis Developer Advocate Raphael De Lio uses Redis OM Spring and Spring AI to enhance search with vector embeddings, improving retrieval through chunking, summarization, and RAG. Learn how semantic caching speeds up searches, reduces cost, and brings Apollo 11’s mission data vividly back to life.

Key topics

1. How Redis OM Spring and Spring AI enhance search with vector embeddings
2. Using RAG to improve retrieval accuracy and ground LLM responses in real data
3. How semantic caching reduces cost and speeds up search
4. Key techniques like chunking, summarization, and data extraction