Knowledge Graph on Amine El Farssi

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

Mon, 23 Mar 2026 00:00:00 +0000

Vector RAG retrieves documents. Graph RAG retrieves relationships. When your agent needs to reason across entities, timelines, and decisions, the graph wins.

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The Problem I Was Trying to Solve
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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

Sun, 01 Mar 2026 00:00:00 +0000

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
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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.”

Knowledge Graph on Amine El Farssi

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

The Problem I Was Trying to Solve #

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

The Problem with Pure Vector Memory #

The Problem I Was Trying to Solve
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The Problem with Pure Vector Memory
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