RAG Project for Data Sources
Business Advice AI Assistant
This project aims to build an AI-powered Business Advice Assistant using the Retrieval-Augmented Generation (RAG) architecture.
The system will answer business-related questions by retrieving information from trusted knowledge sources such as business reports, market studies, financial documents, and startup resources.
Instead of relying solely on a language model’s general knowledge, the assistant will search and retrieve relevant information from a curated knowledge base, then use a language model to generate accurate and context-aware responses.