Thinking about agents,
memory, and data.

GraphRAG uses a knowledge graph as its retrieval substrate instead of a flat vector index. The result is structurally aware retrieval that follows relationships between concepts, not just embedding similarity. Here is what it gets right.

We ship tools that are intentionally understated: minimal opinions, clear interfaces, everything exposed. The goal isn't completeness out of the box. It's a base that teams can actually customize without rewriting. Here's what that principle looks like in practice.