We’re always happy with any other questions you might have. Send us an email at [email protected]
Apply Datastreamer Ingredient Detection Classifier to Twingly VK
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Twingly VK
Twingly offers an official VK Search API that includes all public posts, shares and comments, a total of 20 million messages per day. Get access today to find out what is said about your brand, customers or competitors in the Russian market.
Quickly apply Datastreamer Ingredient Detection Classifier to Twingly VK with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly VK
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Add Datastreamer Ingredient Detection Classifier with an Operation
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.
Step 3
That's it! You have just connected Datastreamer Ingredient Detection Classifier and Twingly VK
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.