Knowledge Graphs

Better dialogues through intelligent knowledge processing and modeling.


Know to understand


Existing knowledge and user-generated data can only serve as a knowledge base for natural language based dialogues if knowledge is processed and modeled correctly.

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Features and functions


Conversation Optimization

The knowledge graph offers multiple benefits for conversation optimization:

Extension of natural language recognition

The stored knowledge in the knowledge graph – e.g. names, synonyms and entities – is used to improve and extend the natural language understanding of the bot.

Reduction of intents & better management

The management of intents is significantly improved, since knowledge graphs allow to abstract many intents and thereby reduce the number.

Improved answers and dialogues

The use of a knowledge graph and the underlying data modeling make it possible to answer very specific and complex questions.

Calculations directly in chatbot

By modeling the corresponding data in the background, it is possible to perform calculations directly in the chatbot, e.g. prices can be calculated.

Reasoning / generation
of new knowledge

Existing knowledge is extended by connecting to other nodes, new relationships are thus created or generated.


Conversational AI Platform

Onlim’s Conversational AI platform allows to connect external data sources such as CRM or PIM via standardized interfaces, manage conversations, multilingual content, and conversation modules.

onlim platform

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We’re happy to show you the advantages of our AI chatbots in a short online demo.