{"_meta":{"schema":"top11-recommend-v1","self":"https://topelevens.com/api/lists/rag-frameworks/recommend","list":"https://topelevens.com/api/lists/rag-frameworks","usage":"Query params: problem (free text), segment (persona/vertical), budget ($, $$, $$$), max_risk (none|low|moderate|elevated, drops firms with higher verified risk), limit (1-11)."},"slug":"rag-frameworks","list_title":"The 11 Best RAG Frameworks","query":{"problem":null,"segment":null,"budget":null,"max_risk":null},"note":"No problem given, so returning the editorial Top 3.","matched":[{"rank":1,"name":"LangChain","url":"https://www.langchain.com/","score_out_of_94":9.3,"best_for":"Developers who need a versatile, general-purpose framework with the largest possible ecosystem of integrations for building complex, agentic AI applications.","price_band":"$$","solves":["Broadest integration needs","Rapid prototyping","Complex agentic workflows"],"personas":["AI Engineer","Full-Stack Developer","Startup CTO"],"risk_level":"none","risk_summary":"No material public risk signals as of 2026-05-31.","why":"#1 LangChain: The most versatile framework with the largest ecosystem for building any type of LLM application, including advanced RAG.","anchor":"/rag-frameworks#rank-1"},{"rank":2,"name":"LlamaIndex","url":"https://www.llamaindex.ai/","score_out_of_94":9.2,"best_for":"Teams focused on optimizing the retrieval and indexing components of their RAG application for maximum accuracy and performance.","price_band":"$$","solves":["Data-intensive retrieval","Complex indexing strategies","Optimizing retrieval accuracy"],"personas":["AI/ML Engineer","Data Scientist"],"risk_level":"none","risk_summary":"No material public risk signals as of 2026-05-31.","why":"#2 LlamaIndex: A data-centric framework excelling at advanced indexing and retrieval strategies for high-accuracy RAG.","anchor":"/rag-frameworks#rank-2"},{"rank":3,"name":"Haystack","url":"https://haystack.deepset.ai/","score_out_of_94":8.9,"best_for":"Enterprises building scalable, production-grade NLP and neural search applications that require robust pipeline management and hybrid search capabilities.","price_band":"$$","solves":["Enterprise search applications","Pipelines requiring scalability","Hybrid search needs"],"personas":["Enterprise Architect","Backend Engineer"],"risk_level":"none","risk_summary":"No material public risk signals as of 2026-05-31.","why":"#3 Haystack: A mature, enterprise-focused framework for building scalable neural search and complex RAG pipelines.","anchor":"/rag-frameworks#rank-3"}]}