AIBot PRO offers flexible deployment options to fit different enterprise IT environments:
- Windows Local Deployment::
- Download the official installation package and unzip it to run the installation wizard.
- Configuring SQL Server or Redis Database Connections
- Once the service is started, it can be accessed via the client
- Linux server deploymentRecommended to use pagoda panel management, through the Docker container to realize the environment isolation, need to pay special attention to the file permissions settings
- Cloud Native Deployment: Provides a complete Docker Compose solution with components such as Milvus vector database for k8s cluster environments.
All deployment methods require attention:
1) Ensure that the server meets the .NET 6 runtime requirements
(2) production environment is recommended to configure load balancing and high availability solutions
3) External access requires reasonable firewall rules. Enterprise users can contact the official to get the deployment assessment tool to test the compatibility of the environment in advance.
This answer comes from the articleAIBot PRO: A commercialization aggregation platform integrating multiple AI productsThe
May not be reproduced without permission:AI productivity tools " How to deploy AIBot PRO in an enterprise environment and what are the specific deployment options?
