Planning and progress reports
- Developing Frontend for chat entry and output, creating a good look and feel
- Developing Backend for basic reading from frontend, inputting to a model and then sending the response back. We are leaving room for enhancements such as storing previous chats.
The Backend will be using a python REST API and the frontend will be using HTML, CSS, and JS. Our current stopping blocks / problems we will need help confronting are concerned with the RAG implementation. We are looking for your guidance on how to best implement that if you are able to assist us.
Backend
- Implemented most of RAG
- Parsing Documents
- Vectors for Documents
- Comparing Vectors between questions and documents
Frontend
- Implemented animations for sidebar, typing, fades
- Implemented chat function fully
- Implemented the chatlog and history functions
- Implemented saving documents to localStorage
TODO
Backend
- Create final prompt for LLM outputs
Frontend
- Tweaks with history and animations, pushing results to main
Both
- Create remainder of questions (20 each)
- Compile and implement question testing