1/4 Every time I present the same talk, it gets better. Sometimes because I spot things to improve. Sometimes because of great feedback from the audience. Check it out 🧵 cc @redis.io #javabubble
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2/4 Next week at @devoxx.uk, I'll be giving my talk “Apollo 11: Rediscovering the Mission to the Moon with Vector Similarity Search, Spring Boot & Redis” for the 4th time. Since DevOps na Praia in Portugal, I’ve made two key updates thanks to feedback from @carlosenog.dev and Arthur Costa.
¾ First, Arthur asked about processing times. I didn’t have an answer then. Now I break it down step by step: - Create embedding → short while - Search vectors in Redis Open Source 8 → super fast - Run RAG → long while - Hit Redis Semantic Cache → super fast
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4/4 Then, @carlosenog.dev pointed out the code was too long and hard to follow. He called it "absolute cinema" 😂. Now the examples are shorter and I walk through them highlighting each piece. I tried this at @devoxx.fr and the feedback was solid. Let’s see how it goes at @devoxx.uk! 🇬🇧