1. Knowledge level This is the basic and the most abstract level in a knowledge-based agent. This level describes the agent by what it knows, i.e. through its knowledge base. In this level, the information that the agent has, its goals and the utility are defined. Example A house clea...
A knowledge base is the base for all the data sources that an agent can use to retrieve the data for its chat answers. If you havemanagepermissions togenai-agent-family, you can perform the following tasks for knowledge bases: Create a knowledge base ...
Sie können nur Knowledge Bases löschen, die nicht von Agents verwendet werden. Bevor Sie eine Wissensdatenbank löschen, müssen Sie die Datenquellen in dieser Wissensdatenbank löschen und die Agents löschen, die diese Datenquelle verwenden. Mit der Löschaktion wird die Wissensdatenbank...
Knowledge Base Train AI agents on your data to power responses and perform tasks using any LLM model. Developer Toolkit Build custom integrations and extend to any tailored interfaces using a powerful API library. Agent Content Manager Organize, control and scale all of your agent and team content...
Not all knowledge base systems are created equal. Choosing a solution that’s easy to use, scalable, and secure is crucial. Zendesk AI-powered knowledge base solutions help you efficiently create self-service resources that delight customers, freeing your team to focus on more meaningful work. Wi...
Customers: Some consumers would rather solve issues independently than speak to a support agent. Empower them with 24/7 self-service via comprehensive knowledge articles and AI agents. Agents: Support agents don’t need to memorize all of your processes and procedures from A to Z. Equip your ...
Not all knowledge base systems are created equal. Choosing a solution that’s easy to use, scalable, and secure is crucial. Zendesk AI-powered knowledge base solutions help you efficiently create self-service resources that delight customers, freeing your team to focus on more meaningful work. Wi...
Get 10 tips for creating and maintaining a knowledge base used for generative AI grounding in customer service.
Architecture of an expert system (knowledge base, inference mechanism, uncertainty processing) • Building expert systems (life cycle, KADS methodology) • Knowledge engineeringTop Background Expert systems represented the prominent research area within AI in the 1970s. In these times the search for...
Implementation of knowledge base (KB) abilities for agents developed in SPADE (Smart Python Agent Development Environment). The finalised product should enable agents to cope with personal and global knowledge bases explicated using logical statements in various languages, or RDF/OWL files. ...