Explore Demo Guided Tour
The following guided tour showcases an end-to-end Intelligent FAQ Chatbot built using SAP BTP technologies—SAP AI Core, SAP HANA Cloud, and the SAP CAP framework. It leverages Retrieval-Augmented Generation (RAG) to deliver accurate, real-time responses from a vector-embedded knowledge base. Unresolved queries are escalated seamlessly into support tickets, while agents benefit from full chat history and analytics via an integrated dashboard. The solution enhances user experience, reduces manual workload, and enables scalable, AI-powered support across industries.
Architecture
Select the following link to start the Guided Tour
This is just an introduction to what is possible with SAP BTP, and the creation of a chatbot application is outside the scope of this workshop. However, many of the same concepts and technologies involved will be covered in some detail and you will see how they can be applied to multiple different scenarios or applications.
In the subsequent lessons, you will learn more about the Retrieval Augmented Generation (RAG) process and how to ground your AI models on a vectorized data set to deliver more accurate and relevant responses to queries.
The following guided tour showcases an end-to-end Intelligent FAQ Chatbot built using SAP BTP technologies—SAP AI Core, SAP HANA Cloud, and the SAP CAP framework. It leverages Retrieval-Augmented Generation (RAG) to deliver accurate, real-time responses from a vector-embedded knowledge base. Unresolved queries are escalated seamlessly into support tickets, while agents benefit from full chat history and analytics via an integrated dashboard. The solution enhances user experience, reduces manual workload, and enables scalable, AI-powered support across industries.
Architecture
Select the following link to start the Guided Tour
This is just an introduction to what is possible with SAP BTP, and the creation of a chatbot application is outside the scope of this workshop. However, many of the same concepts and technologies involved will be covered in some detail and you will see how they can be applied to multiple different scenarios or applications.
In the subsequent lessons, you will learn more about the Retrieval Augmented Generation (RAG) process and how to ground your AI models on a vectorized data set to deliver more accurate and relevant responses to queries.
The following guided tour showcases an end-to-end Intelligent FAQ Chatbot built using SAP BTP technologies—SAP AI Core, SAP HANA Cloud, and the SAP CAP framework. It leverages Retrieval-Augmented Generation (RAG) to deliver accurate, real-time responses from a vector-embedded knowledge base. Unresolved queries are escalated seamlessly into support tickets, while agents benefit from full chat history and analytics via an integrated dashboard. The solution enhances user experience, reduces manual workload, and enables scalable, AI-powered support across industries.
Architecture
Select the following link to start the Guided Tour
This is just an introduction to what is possible with SAP BTP, and the creation of a chatbot application is outside the scope of this workshop. However, many of the same concepts and technologies involved will be covered in some detail and you will see how they can be applied to multiple different scenarios or applications.
In the subsequent lessons, you will learn more about the Retrieval Augmented Generation (RAG) process and how to ground your AI models on a vectorized data set to deliver more accurate and relevant responses to queries.
The following guided tour showcases an end-to-end Intelligent FAQ Chatbot built using SAP BTP technologies—SAP AI Core, SAP HANA Cloud, and the SAP CAP framework. It leverages Retrieval-Augmented Generation (RAG) to deliver accurate, real-time responses from a vector-embedded knowledge base. Unresolved queries are escalated seamlessly into support tickets, while agents benefit from full chat history and analytics via an integrated dashboard. The solution enhances user experience, reduces manual workload, and enables scalable, AI-powered support across industries.
Architecture
Select the following link to start the Guided Tour
This is just an introduction to what is possible with SAP BTP, and the creation of a chatbot application is outside the scope of this workshop. However, many of the same concepts and technologies involved will be covered in some detail and you will see how they can be applied to multiple different scenarios or applications.
In the subsequent lessons, you will learn more about the Retrieval Augmented Generation (RAG) process and how to ground your AI models on a vectorized data set to deliver more accurate and relevant responses to queries.
The following guided tour showcases an end-to-end Intelligent FAQ Chatbot built using SAP BTP technologies—SAP AI Core, SAP HANA Cloud, and the SAP CAP framework. It leverages Retrieval-Augmented Generation (RAG) to deliver accurate, real-time responses from a vector-embedded knowledge base. Unresolved queries are escalated seamlessly into support tickets, while agents benefit from full chat history and analytics via an integrated dashboard. The solution enhances user experience, reduces manual workload, and enables scalable, AI-powered support across industries.
Architecture
Select the following link to start the Guided Tour
This is just an introduction to what is possible with SAP BTP, and the creation of a chatbot application is outside the scope of this workshop. However, many of the same concepts and technologies involved will be covered in some detail and you will see how they can be applied to multiple different scenarios or applications.
In the subsequent lessons, you will learn more about the Retrieval Augmented Generation (RAG) process and how to ground your AI models on a vectorized data set to deliver more accurate and relevant responses to queries.