How to Build an AI Employee With a Knowledge Graph (Not Just Another Agent)
An AI agent can take an action. An AI employee needs to know what happens next. Most AI agents look something like this: Think → Act → Observe → Rep…
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We Almost Deployed a Temporal Knowledge Graph. The Eval Said No.
The eval that killed the temporal knowledge graph asserted one thing: at time T, the agent should report the state that was true at T. It failed 41%…
When the same incident becomes five separate events in your graph
A single corporate event in East Asia rarely shows up once. A merger gets filed at OpenDART in Korean, reported by EDINET in Japanese a day later, p…
How Japan’s Research Labs Are Building RAG Systems That Actually Work — And What Western Teams Keep Getting Wrong
Your vector database is returning relevant chunks. Your embedding model scores 0.89 on retrieval benchmarks. Your PM calls it "AI-powered search." B…
Building Knowledge Graphs with Gemini
✨ Overview In this exploration, we'll see how to turn raw, unstructured documents into structured knowledge graphs using Gemini. We'll start by prot…
How I Built a RAG System With a 7-Million-Node Knowledge Graph (And Why Vector Search Alone Isn't Enough)
Building The Librarian: A Knowledge Graph-Powered RAG System for Medical and Scientific Literature How I built a conversational knowledge management…
MemoryGraph – Git for knowledge, built to capture research dead ends
The problem nobody talks about $100B+ is wasted annually in research duplication. Economists estimate that the failure to share negative results bur…