Why Agents Need a Knowledge Base: The Gaps an LLM Can't Fill by Itself
When a team starts building an agent, the first version is very often only a model, a system prompt and a few tools, and for a demo that is usually…
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Building an investing knowledge graph, part 6: if you're merging data from more than one source, you'll hit this
Building an investing knowledge graph, part 6: if you're merging data from more than one source, you'll hit this Since part 5 went up, I've had two…
Dissecting Semantica’s Graph-Native Core: The Missing Layer Between Context and Accountability
I opened semantica-agi/semantica during a short coding break because the project’s graph-native approach addresses a problem I keep seeing in gatewa…
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…
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%…
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…