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Glad it was helpful! Happy coding.

Thanks. Those are defaults in the OpenWebUI. You can select relevant categories for a custom model.

Thanks. If you are encountering model's maximum context length then you can try the following. 1. Choose a different LLM that supports a larger context window. 2. Brute Force Chunk the document, and extract content from each chunk. 3. RAG Chunk the document, only extract content from a subset of chunks that look “relevant”. Here an example of these from LangChain. js.langchain.com/v0.1/docs/use_cases/extraction/how_to/handle_long_text/

It may work if the SQL model is able to generate sql for the question. You can try it and let us know if this extended option works.

If you do not see the custom model in your ollama ecosystem then check the model file to make it's correct. Here is an example of the custom model file from openwebui. openwebui.com/m/darkstorm2150/Data-Scientist:latest

Hi you'd need a gpu to run llm. By the way VPS servers can have GPUs.