Jibber AI with Docker Overview

Docker is a popular platform for building and deploying applications. It uses containerization technology to package an application and its dependencies into a single, portable unit called a container. Containers are isolated from the host operating system and other containers, making them easy to deploy and manage across different environments.

Jibber AI is available as a Docker image. The Docker image allows you to host Jibber AI in your own environment.

Here are a few reasons why you might want to use a Docker image:

  • You want the flexibility of where the data is analysed, perhaps you don't want your text data to be sent outside your network for analysis
  • You want to integrate Jibber AI features into your own product and don't want to be including round trips to the cloud
  • You want to add some Custom PII entries
  • You want to detect new types of Entities, or tweak the existing Entity types with some supplementary training data
  • Send up to 100k of text per request (100k is the equivalent of about 200 pages of single spaced text or 400 pages of double spaced text)
  • If you have more than 100k for a single request - you can break it up into chunks (or increase the text.max.length setting)

To use Jibber AI in a Docker image, there are a few steps needed to get you started: