Dense Passage Retrieval

Retrieval-augmented generation (RAG) gives a language model a temporary, query-specific memory by searching an external corpus, selecting evidence, and placing it in the prompt before the model answer…

Retrieval-augmented generation (RAG) allows local LLMs to access external documents without consuming excessive memory, by retrieving only relevant chunks via a small embedding model and vector databa…