AI, with Live Data

I got the Pathway AI pipelines to run on my work laptop - 11TH gen Core CPU, fully locally, within 1h.

Robust and innovative data processing technology such as delivered by Pathway, unlocks new capabilities for critical use cases at scale.

Pathway shows that real-time data processing and AI integrate seamlessly into our chain of business tools, without adding complexity or implementation delays, while guaranteeing reliable results.

Whenever I think about new data pipelines projects or real time ones, I think about Pathway before Flink.

Pathway’s ability to process real-time data is truly impressive. Thanks to Pathway we implemented our data pipelines for applied observability in production. If you’re looking for a top-notch data processing solutions, be sure to check out Pathway!

What sets this apart is its ability to deliver such impressive performance without the need for a separate vector database. This ingenious approach avoids the complexity and fragmentation commonly associated with LLM stacks.

Going from streaming to batch and vice-versa is cumbersome for Flink or Spark. You usually end up designing and building from scratch a hybrid infra, which is unreliable. Pathway is built to resolve this pain.

Want to create an #LLM app that can fetch real-time data? Without the need for vector databases or a complex stack? You should try Pathway.