I Building an LLM Knowledge Graph.
An LLM Wiki is great for organizing knowledge into readable documents — useful for both humans and AI.
But the next step is turning it into an LLM Knowledge Graph: connecting concepts, relationships, sources, evidence, and reasoning paths.
This helps LLMs move beyond simply “reading documents” toward understanding how knowledge is connected, where it comes from, and how it can be used for retrieval, reasoning, and decision-making.
From LLM Wiki → LLM Knowledge Graph:
not just storing information, but turning knowledge into a structured cognitive network that AI can query, reason over, and build with.
The current U.S. economic environment
Persistent inflation
+
AI-driven investment support
+
A prolonged high interest rate environment
In the short term, markets are likely to react quickly to:
CPI data
PCE inflation
Treasury yields
Federal Reserve speeches
Oil prices
Employment data
AI-related earnings
They will take 2%. First, estimate what the valuation for your next funding round is expected to be, then give a discount to the token's value. This allows you to perform the necessary calculations. In my opinion, a valuation of under $30 million for the next round is a opportunity, exceeding $50 million not good.
I Building an LLM Knowledge Graph.
An LLM Wiki is great for organizing knowledge into readable documents — useful for both humans and AI.
But the next step is turning it into an LLM Knowledge Graph: connecting concepts, relationships, sources, evidence, and reasoning paths.
This helps LLMs move beyond simply “reading documents” toward understanding how knowledge is connected, where it comes from, and how it can be used for retrieval, reasoning, and decision-making.
From LLM Wiki → LLM Knowledge Graph:
not just storing information, but turning knowledge into a structured cognitive network that AI can query, reason over, and build with.