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Enrich Twingly Blogs with Datastreamer Ingredient Detection Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Twingly Blogs
Twingly indexes 1 million blog posts per day, from all over the world, and make them available. Twingly adds 4,000 new active blogs every day, and if that is not enough, you can easily add more yourself, and we will cover them for you
About Datastreamer Ingredient Detection Classifier
Detect and classify ingredients used in products, including the fabrics, minerals and materials, 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.
Quickly enrich Twingly Blogs with Datastreamer Ingredient Detection Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly Blogs
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Add Datastreamer Ingredient Detection Classifier to enrich
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Twingly Blogs and Datastreamer Ingredient Detection Classifier
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.