The community member is facing an issue where the default schema in a tutorial is not working with their data, and they are unable to extract any relationships. They have tried using different LLM models and settings, but the issue persists. The community members have identified that the issue is likely related to recent updates to llama_index and pydantic. A fix is being worked on, and a pull request has been submitted. The community members are waiting for the fix to be merged and a new version of llama-index-core to be published.
Probably the default schema doesn't match your data well. Really, its made for you to create your own schema, I don't expect the default to work well in every case
Hi Logan, thanks again for your work. The problem is that I am not using my own data... i strictly follow the tutorial and using the default schema and default data in the tutorial
the only two different settings from the tutorials are 1) I used neo4j desktop not the docker, but i don't think it really matters? 2) the llm model is "gpt-4o" rather than "gpt-3.5-turbo" as the later is deprecated... I tried gpt-3.5 as well, and faced the same issue.
