Redis AI

Hello there, fellow techies!

Today, I want to talk to you about SolubleCode's latest obsession - Redis AI module running TensorFlow models for document classification. Yes, you heard that right! We are using Redis as a model serving platform, and it's been a blast!

Now, I know what you are thinking - "Redis? Isn't that just a caching database?" Well, my friend, it's much more than that now. RedisAI, along with other modules (RedisJSON, RedisGraph, RedisSearch) have made Redis the Swiss Army knife of databases.

So, how are we using Redis AI module running TensorFlow models for document classification? Glad you asked. We have trained our TensorFlow models on a massive dataset of documents, and we use Redis to serve those models in real-time.

But wait, it gets better. Redis AI module not only supports TensorFlow but also other popular machine learning frameworks like PyTorch, ONNX, and XGBoost. So, if you get bored with TensorFlow, you can switch to PyTorch and keep Redis as your trusty sidekick.

Now, I know what you are thinking - "But why Redis? Why not use a dedicated model serving platform like TensorFlow Serving?" Well, my friend, because Redis is cooler. Who doesn't want to say they are using Redis as a model serving platform? Plus, it's so easy to set up and use.

All you need to do is install the Redis AI module, load your trained TensorFlow model into Redis, and voila! You are ready to go. It's so simple that even a non-technical person can do it. Okay, maybe not, but you get the idea.

In conclusion, Redis AI module running TensorFlow models for document classification is a game-changer. It's like having a personal assistant who can read and categorize all your documents for you. And who doesn't want a personal assistant, am I right?

So, if you haven't tried it yet, go ahead and give it a go (opens in a new tab). And let us know what you think. Until next time, keep coding, keep learning, and keep Redis-ing.