I created a crew that augments the default research agent example of Crew AI with InfraNodus content gap analysis.
It sends the research generated by the AI to InfraNodus to generate a knowledge graph and detect structural gaps based on the topical clusters that could be better connected.
It will then augment further prompts with this information to produce higher-quality results that will remove the model’s bias and help generate innovative insights.
In a nutshell, it’s like having a portable GraphRAG with your Crew AI agents but without the overhead of installing and integrating complex frameworks. Will save you hours and produce much better results!
The GitHub repo with some examples you can use as templates: https://github.com/infranodus/crewai-infranodus-templates
And you will need an InfraNodus account to run it (API key is available for all tiers).
Curious to hear your feedback and already working on more workflows!
