Rag Workflow, Information Retrieval, Langchain, Hugging Face, Question Answering.
approach, the top K documents are retrieved using the retriever, and the generator computes the output sequence probability for each document. These probabilities are then combined through marginalization. RAG-Token Model: In this model, a different latent document can be drawn for each target