Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Cover hundreds of thousands of blog articles in multiple languages going back to 2008, Webz Blogs dataset allows you to feed your machines with fresh blog data, powered unparalleled latency and adaptive crawling.
Movies, songs, memes, books, and other cultural references can be detected with this LLM-powered model in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
How Datastreamer works
Quickly enrich Webz Blogs with Datastreamer Cultural Reference Recognition Model with a Datstreamer Pipeline.
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.
Add Datastreamer components to your data stack and explore its full capabilities
