Architecture: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| (2 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
==Architecture== | |||
The diagram shows the different logical blocks. | The diagram shows the different logical blocks. | ||
[[File:Arquitectura_wiki.png]] | [[File:Arquitectura_wiki.png]] | ||
==The solution is implemented on a fully distributed architecture with differentmodules: == | |||
* Users access the functionalities with a variety of client interfaces (described | |||
later) such as the PGB, Web applications, CAT tools or programmatically with a RESTFul API for integrations. | |||
* The Production Access Server manages user requests and orchestrates the | |||
rest of modules. It requires a standard SQL database to store the required | |||
data to fulfil the requests. | |||
* The engines, either local (managed by the organization on their own | |||
premises or on their own cloud) or operated by Pangeanic with a SaaS | |||
model will perform the actual language processing. | |||
* A file processor is in charge of dealing with converting files and documents | |||
when this feature is installed. | |||
* An on-line trainer module is in charge of evolving the models according to | |||
the user preferences. This is integrated in the engine package when the | |||
on-line learning option is installed. | |||
Latest revision as of 08:13, 7 February 2022
Architecture
The diagram shows the different logical blocks.
The solution is implemented on a fully distributed architecture with differentmodules:
- Users access the functionalities with a variety of client interfaces (described
later) such as the PGB, Web applications, CAT tools or programmatically with a RESTFul API for integrations.
- The Production Access Server manages user requests and orchestrates the
rest of modules. It requires a standard SQL database to store the required data to fulfil the requests.
- The engines, either local (managed by the organization on their own
premises or on their own cloud) or operated by Pangeanic with a SaaS model will perform the actual language processing.
- A file processor is in charge of dealing with converting files and documents
when this feature is installed.
- An on-line trainer module is in charge of evolving the models according to
the user preferences. This is integrated in the engine package when the on-line learning option is installed.