OpenK9 is a new Cognitive Search Engine that allows you to build next generation search experiences. It employs a scalable architecture and machine learning to enrich unstructured data and give the best user experience possible.
To make Openk9 run on your machine with latest stable release, you just need docker installed and run:
docker compose up -dAfter all components have been started, openk9 is runinng with initial configuration at address demo.openk9.localhost.
To accesso to admin panel go to http://demo.openk9.localhost/admin. Access with username k9admin and password openk9.
Search frontend is available here:
- Standalone search frontend to test search on indexed data.
To test conversational search:
- Conversational search frontend to chat with indexed data
Enjoy Openk9!
To install Openk9 in production is advisable to deploy it in Kubernetes or Openshift environments.
You can find a complete guide to do it here using Helm Charts.
Copyright (c) the respective contributors, as shown by the AUTHORS file.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see http://www.gnu.org/licenses/.