Use case definition

Let’s consider a scenario where we’re working with a large financial institution that deals with a vast number of legal contracts, regulatory filings, product disclosures, and internal policies and procedures. These documents individually can be into the tens or even hundreds of pages, making it challenging for employees, customers, and other stakeholders to quickly find relevant information when needed. These documents also do not have a consistent format in the way the information is reported, disqualifying non-AI-powered text extractor solutions like regex statements or plain business rules.

The institution wants to implement a chatbot system that can provide a user-friendly interface for users to ask natural language questions and receive concise, relevant answers derived from the organization’s document corpus. This system should leverage the power of RAG to ensure that the generated responses are accurate, contextual, and grounded...