Yes, the HN "chat" approach would work. There is a section in the README covering this. https://github.com/neuml/txtchat#connect-your-own-data

You would need to extract those comments and then load them into an Embeddings index.

Thanks, appreciate it. Not much I can do with down votes unless someone provides their rationale, which no one ever does.

Thank you.

This application is RAG with a local vector index combined with a LLM from the FLAN-T5 series of models.

The whole solution can be locally hosted with no remote runtime API dependencies.

With the current version, yes it runs an embeddings query for each message. I plan to handle threaded conversations shortly. In that scenario, the chat history will be provided to the prompt.

Thanks, appreciate it.

Great!

Thanks, glad you like it.