Retrieval augumented generation (RAG)

Typical RAG pipelines usually include:

• generating embeddings
• similarity search on embeddings
• piping outputs from the vector DB, e. g. found similar documents into an LLM Thus, the LLM generated is augumented by the retrieval system.