AI Memory

Graph RAG in Practice: How I Wired Neo4j Into My AI Agent's Memory

23 March 2026·390 words·2 mins

Engineering Graph RAG Neo4j Knowledge Graph OpenClaw Graphiti RAG AI Memory

Vector RAG retrieves documents. Graph RAG retrieves relationships. When your agent needs to reason across entities, timelines, and decisions, the graph wins. Open Interactive Version → The Problem I Was Trying to Solve # My AI agent PostSingular, running on OpenClaw, talks to me every day. It helps me build Luminar, manages my YouTube channel, and tracks infrastructure decisions across sessions.

Why Vector Memory Alone Isn't Enough: Knowledge Graph Memory for AI Agents

1 March 2026·744 words·4 mins

Engineering AI Memory Knowledge Graph Neo4j ChromaDB Graphiti RAG

Vector databases are fast and convenient. But they can’t answer “what did I decide about the auth system 3 weeks ago and why?” For that, you need relationships — and that means a knowledge graph. The Problem with Pure Vector Memory # Most AI memory systems work like this: embed text, store in ChromaDB, retrieve by cosine similarity. It works well for “find things similar to this query.”

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