# How to Start a Knowledge-Graph Memory Layer with an Extendable Ontology

DevFeed: [How to Start a Knowledge-Graph Memory Layer with an Extendable Ontology](<https://devfeed.tech/articles/stop-chasing-the-perfect-ontology-18303.md>)

Original publisher: [Read original article](<https://www.decodingai.com/p/ship-a-knowledge-graph-ontology-in-5-minutes>)

Author: Paul Iusztin

Published: 2026-05-26T05:00:51Z

Content type: tutorial

Language: en

Sources: [Decoding ML](<https://devfeed.tech/sources/decoding-ml.md>)

Topics: [Graphs](<https://devfeed.tech/topics/graphs.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [article](<https://devfeed.tech/tags/article.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [knowledge-graph](<https://devfeed.tech/tags/knowledge-graph.md>), [knowledge-graphs](<https://devfeed.tech/tags/knowledge-graphs.md>), [rag](<https://devfeed.tech/tags/rag.md>), [schema-design](<https://devfeed.tech/tags/schema-design.md>)

## AI overview

This tutorial explains how to begin building a knowledge-graph memory layer without designing a complete ontology upfront. It recommends a small, generic, extendable POLE+O model with Preferences and Facts, then extending it as domain-specific data reveals gaps.

## Source excerpt

Start with a fixed, generic base and extend only when your data demands it.