Textual architecture
Last updated
Last updated
The following diagram shows how data and requests flow within the Tonic Textual application:
The Textual application database is a PostgreSQL database that stores the dataset configuration.
Runs the Textual user interface.
A textual instance can have multiple workers.
The worker orchestrates jobs. A job is a longer running task such as the redaction of a single file or the training of a single custom model.
If you redact a large number of files, you might deploy additional workers and machine learning containers to increase the number of files that you can process concurrently.
A textual installation can have 1 or more machine learning containers.
The machine learning container hosts the Textual models. It takes text from the worker or web server and returns any entities that it discovers. It also runs training and inference on custom models.
Additional machine learning containers can increase the number of words per second that Textual can process.
Textual only uses the LLM service for LLM synthesis.
