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Apply Datastreamer Dialect Detection Model to Datastreamer Searchable Storage
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Dialect Detection Model
Detect dialects of language used within content for 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 Datastreamer Searchable Storage
Datastreamer Searchable Storage is a flexible, fully managed solution that allows you to store, query, and analyze your web data with ease. Allowing additional aggregation, search, and deduplication capabilities.
Quickly apply Datastreamer Dialect Detection Model to Datastreamer Searchable Storage with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Datastreamer Searchable Storage
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer Dialect Detection Model with an Operation
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Step 3
That's it! You have just connected Datastreamer Dialect Detection Model and Datastreamer Searchable Storage
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.