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Enrich Vetric Social Sources with Datastreamer Cultural Reference Recognition Model
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Vetric Social Sources
Multi-method collection of real-time social media data. Their APIs are ideal for market research, content curation, competitive intelligence, social media monitoring, analyzing live event promotions and influencer outreach.
About Datastreamer Cultural Reference Recognition Model
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.
Quickly enrich Vetric Social Sources with Datastreamer Cultural Reference Recognition Model with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric Social Sources
Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.
Step 2
Add Datastreamer Cultural Reference Recognition Model to enrich
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Vetric Social Sources and Datastreamer Cultural Reference Recognition Model
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.