LLM Engineering

AI knowledge worker for an insurance Tech company

• Built using a Retrieval-Augmented Generation (RAG) solution to enhance prompts and incorporate relevant information.

• Accesses a knowledge base comprising contracts, employees, company information, products, and training materials.

• Passes retrieved knowledge to LLMs for generating expert replies.

• Includes a UI interface for user interaction.

Note: Employed Faiss/Chroma vector stores for visualizing vector information in 2D/3D formats during development.