[ajhai]

You can actually do this with LLMStack (https://github.com/trypromptly/LLMStack) quite easily in a no-code way. Put together a guide to use LLMStack with Ollama last week - https://docs.trypromptly.com/guides/using-llama3-with-ollama for using local models. It lets you load all your files as a datasource and then build a RAG app over it.

For now it still uses openai for embeddings generation by default and we are updating that in the next couple of releases to be able to use a local model for embedding generation before writing to a vector db.

Disclosure: I'm the maintainer of LLMStack project