5 Reranking Techniques in RAG: From Fast Retrieval to Accurate Context
source: OpenAI GPT Image 2 modelYou have built a RAG pipeline. You chunked your documents, picked an embedding model, and wired up a vector database. You ask a question, the retriever pulls back 50 chunks, and you stuff the top 5 into your LLM prompt. …