Messy Problems
Chia Jeng YangWe find messy problems in tech business models and map out frameworks to understand them.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 33 | Founded | 5 years ago | Last Issue | 2 years ago |
| Active | |||||
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messyproblems.substack.comLatest Issues
WhyHow.AI Platform Beta Update — SDK for programmatic flows
WhyHow.AI’s Knowledge Graph Studio is a modular platform designed to work seamlessly with your existing pipelines, and to be equally useful for developers and non-technical domain experts building KGs for systems of all levels of com...
Multiplayer Knowledge Graph Creation, Expert-Led Human Labeling & Neuro-symbolic AI
When Tom, Chris and I started WhyHow.AI, we were driven by a singular passion — how can we represent expert knowledge and context in ways that are machine readable, and that human experts can directly contribute to? We always felt th...
5 Misconceptions of KG & RAG Systems - Building & Using RAG-Native Graphs
In this article, we wanted to tackle a few common misconceptions of knowledge graphs within RAG systems. We have especially been focused on understanding the difference between historical knowledge graph construction techniques, and nuances...
Tables/CSVs to Graphs: WhyHow.AI SDK
We are announcing a major upgrade to WhyHow.AI’s KG SDK, enabling the ability to turn CSVs into a knowledge graph automatically. With this feature addition, WhyHow.AI’s KG SDK has the ability to allow for both exploration and control within...
Understanding the type of Knowledge Graph you need - Fixed vs Dynamic Schema/Data
The type of graph you need may vary depending on a few things, including the use-case and the general set-up. The 2 things to think are:
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Is your data dynamic?
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Is your schema dynamic?
At one end of the spectrum, w...
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Authors
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Co-Founder @ WhyHow.AI | Forbes 30u30 VC | Operator | Angel | @cambridge Law | @harvard MBA
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