Use cases for RAG Studio

Retrieval Augmented Generation (RAG) Studio is a powerful tool for building and deploying chatbots that use a combination of retrieval and generation to provide accurate and informative responses.

With RAG Studio, you can create chatbots that can access a knowledge base and generate responses that are tailored to the user's query. Here are some use cases for RAG chatbots across various industries:

• Customer Service (Internal Enablement) RAG chatbots can assist customer service agents by retrieving accurate, up-to-date information from internal knowledge bases about products, policies, or procedures. This reduces time spent searching for answers and enables faster, more consistent responses during customer interactions — without exposing the chatbot directly to end users.
• Technical Support (Agent Assist) Support staff can use RAG chatbots to troubleshoot technical issues more efficiently. The bot retrieves relevant documentation, FAQs, or internal repair guides, surfacing step-by-step instructions that agents can then relay to customers — improving first-contact resolution and reducing training ramp-up time.
• Healthcare (Clinical or Admin Staff Support) Healthcare professionals and administrative staff can reference RAG chatbots to quickly access internal guidelines, treatment protocols, or billing procedures. This helps ensure staff provide accurate information to patients while reducing the risk of compliance or documentation errors.
• Finance (Employee-Facing Advisory Support) RAG chatbots can support financial advisors, support teams, and operations staff by retrieving up-to-date guidance on financial products, compliance rules, and client onboarding processes. This ensures consistency in how internal teams advise or process customer requests — improving accuracy without giving direct chatbot access to customers.
• Travel and Hospitality (Frontline Employee Aid) Front-desk agents and travel advisors can use RAG chatbots to instantly access updated information about destinations, hotel policies, loyalty programs, or service disruptions. This enables faster and more informed responses to guest questions, helping improve satisfaction while preserving human-led interactions.
• E-commerce (Support and Sales Enablement) Internal sales and support teams can use the chatbot to quickly retrieve product specs, return policies, pricing rules, and promotional details from the knowledge base. This empowers agents to respond quickly and accurately to customer inquiries — without the chatbot being exposed to buyers directly.
• Education (Faculty and Student Support Teams) Academic advisors, admissions officers, and support staff can use the RAG chatbot to retrieve information about course offerings, degree requirements, or institutional policies. This helps them provide consistent guidance to students without relying on outdated documentation or interrupting SMEs.
• Government (Internal Public Service Enablement) RAG chatbots can help government employees and public service agents access internal guidelines, regulations, and procedural documents. This ensures more accurate and consistent communication with the public, without opening up direct AI interactions to citizens.
• Insurance: RAG chatbots can provide customers with accurate and up-to-date information about insurance policies or claims, helping to improve customer engagement and reduce the risk of insurance-related errors.