RTWMatters Assistant

Overview

We developed a Retrieval-Augmented Generation (RAG) application featuring an interactive chat interface. The system retrieves relevant information from a vector database of documents and generates accurate, context-aware responses using OpenAI’s language models. This approach ensures that all answers are grounded in the underlying knowledge base.

Key Features

• Interactive chat interface for natural user queries
• Retrieval of relevant data from a vector store of documents
• Context-aware response generation using OpenAI LLMs
• Accurate, knowledge-grounded answers through RAG architecture
• Efficient searching, summarization, and insight extraction from large datasets
• Scalable design for handling extensive document collections