AI chatbot for analysing companies source documents
Posted on 26 May 2024 in projects
AI-based chatbot for retrieving reliable, up to date and precise information about companies.
Chatbot is based on streamlit framework and uses vector database based on postgres pg_vector extension to store and access trade register documents.
Application is using large language model (LLM) Llama3 together with retrieval augmented generation (RAG) approach which allows to ask and get response to any question related company and managers history as well as financial condition and important changes.
Together with response also source documents are listed making this approach reliable business intelligence tool.
Responsibilities:
- build application prototype
- implement application code parts
- implement authentication mechanism
- specify and coordinate works related to building chatbot interactions
- specify and coordinate works related to sychronizing in real time source documents and make them accessible for LLM
- measure answers quality