LangChain Framework Integration

Retrieval Augmented Generation (RAG) is a technique that combines information retrieval with generative AI to produce more accurate and grounded responses. A developer uses it to first retrieve relevant context — such as documents stored in a vector database like SAP HANA's vector search — and then pass that context to a large language model to generate a response. In SAP development, this can be implemented using the generative-ai-hub-sdk alongside HANA vector search to build applications that answer questions based on custom enterprise data.