LLM Document Chat

This was a retrieval-augmented generation (RAG) web application for my client. It provided a custom-designed chat interface and allowed their users to upload any number of documents to inquire about the contents.

My client’s users found great success in reducing time needed to learn technical documents, onboarding new members, and augmenting existing documents with ideas and actions.

The system was built upon Python, Streamlit, Llamaindex, and OpenAI.