ThinkBase Process Demo

This demo illustrates how you can call ThinkBase intelligent Knowledge graphs inside Microsoft Semantic Kernel, using LLMs for intent processing.

Using Semantic Kernel Processes, this demo can answer general questions, but also call a set of knowledge graphs implemented on the ThinkBase.ai SaaS site.

These knowledge graphs use embedded fuzzy rule sets to generate graph traversals to seek to satisfy a target node.

In so doing, they ask the user questions and use the responses to iterate towards that target.

The functionality is embedded in a single Semantic Kernel process step, which you can include in your projects.

The code for the process step and this demo can be found at this repo.

You can get a description of the available knowledge graphs by just asking about them.