Hi Testing,

If your search features can’t keep up with user expectations—or your LLM bills are getting out of hand—there’s a better way.

Join Developer Advocate, Raphael De Lio, this Wednesday, June 25, for a live demo using real Apollo 11 data. During the session, he'll show you how Redis & Spring AI tackle common search problems:

Vector embeddings for semantic precision
Chunking and summarization for better retrieval
RAG to ground LLM output in your own data
Semantic cache to skip redundant generations and cut costs

This is a practical, code-first session for dev teams building faster, more cost-effective search.

Save your seat before it’s too late.

Can’t make it? Register and we’ll share the recording.

See you there,

The Redis team

303 2nd St, North Tower Ste 525, San Francisco CA, 94107, USA

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