What is the Customer Support RAG Chatbot?
The Customer Support RAG Chatbot is a Retrieval-Augmented Generation (RAG) chatbot designed to assist users by answering queries and providing relevant support information based on customer support documentation.
How to use the Customer Support RAG Chatbot?
To use the chatbot, deploy the application and navigate to the web interface. Type your question in the chat interface, and the chatbot will search the documentation for relevant information and generate a response.
Key features of the Customer Support RAG Chatbot?
- Answers questions based on provided customer support documentation.
- Responds with "I don't know" for questions outside the documentation scope.
- User-friendly web interface.
- Semantic search for relevant information.
- Context-aware responses.
- Web scraping support for AngelOne documentation.
- PDF processing for insurance documents.
Use cases of the Customer Support RAG Chatbot?
- Assisting customers with common queries related to products or services.
- Providing support information from documentation in real-time.
- Enhancing customer service efficiency by automating responses.
FAQ from the Customer Support RAG Chatbot?
- Can the chatbot answer all types of questions?
No, the chatbot only answers questions based on the provided documentation and will respond with "I don't know" for questions outside its scope.
- Is there a limit to the number of questions I can ask?
No, you can ask as many questions as you like, but the responses will be limited to the information available in the documentation.
- How is the chatbot trained?
The chatbot is trained on customer support documentation and uses semantic search to find relevant information.