What is a retrieval-augmented generation (rag)?
An AI technique that enhances the knowledge of a Large Language Model (LLM) by providing it with relevant information retrieved from an external data source. This allows the LLM to answer questions about specific, private, or recent data not included in its original training.
Who uses one?
Developers shipping RAG pipelines into production
What does it cost?
Pricing varies. The cheapest provider in our Top 11 starts around $—/mo. See the cheapest providers ranked.
How do I pick one?
Read the full methodology for our 9.4-point scoring framework, then look at the canonical The 11 Best RAG Frameworks (2026). If you want a slice of the ranking by price, fit, or compliance, jump to: cheapest · highest-rated · fastest onboarding.
Source: Top 11 The 11 Best RAG Frameworks (2026), verified May 31, 2026.