56 karma · joined October 29, 2020
Tracking issue here: https://github.com/andrewnguonly/Lumos/issues/40
Regarding the caching -- the entire RAG workflow needs an update. I'll spend some time on it. Thanks for calling out and thanks for the PR!
Unzip `lumos_1_0_0.zip` and you can load the unpacked extension.
Or are you asking if it can automatically get the transcript from a YouTube video? At the moment, it can't do the latter. I do plan to support multi-modal LLMs (llava via Ollama), but I'm not sure how the mechanics of the extension will work yet. Open issue: https://github.com/andrewnguonly/Lumos/issues/27
I elaborate a little bit more on my thinking and approach for parsing in this blog post (4 min read): https://medium.com/@andrewnguonly/local-llm-in-the-browser-p...
If you want to configure a custom content parser for a specific website (i.e. websites you visit frequently), you'll need to modify `contentConfig.ts` according to the instructions here: https://github.com/andrewnguonly/Lumos?tab=readme-ov-file#cu...
Sorry, I realize these instructions are probably unclear. My approach for parsing content is a bit hacky. I need to create a video tutorial/documentation to show how to inspect the webpage and pick out content to parse. Created this issue to track: https://github.com/andrewnguonly/Lumos/issues/37
I'll figure out a workaround and document the steps to install: https://github.com/andrewnguonly/Lumos/issues/36
I do agree that 3rd party LLM services (e.g. OpenAI) are much more powerful. For basic tasks (e.g. summarization, Q&A), local LLMs seem to perform decently.
I'll look into figuring out how to parse the chats.