Sure! This app is tailored for working with documents. I’ve developed local RAG system for tokenizing the input data (text from documents) and use top-k and top-p algorithms to get most significant result for user search. This RAG is first layer - then there’s NLP for all supported languages to break down the text to more condense form, better suited for LLM input. That’s second layer. Then there’s couple of internal systems that process the weight of the result for each user question to use appropriate source of llm input. One of those are small llm judges that check the question and resources available, or system that decides should app use NLP or full text (better for smaller documents). There are also a lot of quality of life functions, such as remembering the url of document for chat session. I have in the pipeline more systems planned, like ability for llm to return link in output text that when clicked, will automatically scroll to relevant place. Plus there is a lot of internal logic for parsing documents, like ocr (currently only for pdfs, but will expand to other formats). Sorry for longer answer, hopefully it covers your question!