What Are the Best RAG Frameworks in 2026?

RAG frameworks handle the plumbing of retrieval-augmented generation (RAG) between your data and a large language model (LLM): loading documents, splitting them, indexing them and retrieving the right pieces at question time. In this guide, we’ll compare the top 11 RAG frameworks on versions, licenses, strengths and how they load web pages. We’ll also benchmark six of them on 310 documentation pages scraped with a web scraping API (four head-to-head against Python, plus LightRAG and Microsoft GraphRAG in a separate graph test), measuring code size, speed, cost and answer quality.