# Structure-agnostic Knowledge Graph Extracting LLM

**URL:** <https://discuss.huggingface.co/t/structure-agnostic-knowledge-graph-extracting-llm/72145>\
**Category:** 🤗Datasets\
**Created:** [February 6, 2024, 5:21pm UTC](https://discuss.huggingface.co/t/structure-agnostic-knowledge-graph-extracting-llm/72145 "2024-02-06T17:21:48Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![onuroz92](https://avatars.discourse-cdn.com/v4/letter/o/258eb7/32.png) [@onuroz92](https://discuss.huggingface.co/u/onuroz92)\
**Post date:** [February 6, 2024, 5:21pm UTC](https://discuss.huggingface.co/t/structure-agnostic-knowledge-graph-extracting-llm/72145/1 "2024-02-06T17:21:48Z")

</div>

Hi.

I want to fine-tune (or train from scratch if I must) an LLM that takes data of any structure, generates a knowledge graph from that data, and allows a user to interact with the data via a chatbot.

There are knowledge graph datasets out there but these are datasets that take in a given data of a given format and convert it into a knowledge graph. In other words, these datasets are structure-specific.

I want to fine-tune a model that converts data of any structure to a knowledge graph.

How can I go about it?