Analyze text data
Turn your unstructured data into valuable insights by automatically classifying and labeling it
Minimize manual ETL-ing, Data Governance, or Security issues
Apply Hugging Face and OpenAI models directly to your data inside database
NLP in Bulk
Run NLP use-cases across all available unstructured data in your tables with a few lines of SQL rather than individual API calls and ETL-ing data
Leverage state-of-the-art pre-trained NLP models
Access Hugging Face and OpenAI models and apply them to your own data in a fast and simple way for a wide number of use-cases
NLP at the Data Layer
Generate predictions and inference directly at the data layer as regular tables.
Flexible to use and manage
Call NLP models with only a few lines of SQL code.
Reduce the complexity of integrating NLP
Access NLP models and data through a single interface, inside the database environment
Minimize the effort of moving to production
Remove the need to manipulate data by combining NLP models and data layers seamlessly and by integrating the models and their predictions at the source.
Easily build multi-layered AI solutions
Apply other machine learning tasks (like regression, time-series) after classifying unstructured data with NLP. Leverage the ecosystem of MindsDB integrations with many leading ML frameworks and data platforms.
Automatically classify messages or comments for detecting toxicity or spam
Automatically flag product reviews, mentions, comments as positive, negative, neutral, or detect certain type of emotion (e.g. hate speech)
Automatically detect language and translate any texts using pre-trained AI models
Produce short summaries of long texts without losing the original meaning.
Automatically respond to questions, comments, or make other conversations
Labeling texts when you don't even have any training data.