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How LlamaIndex is ushering in the future of RAG for enterprises
RAG is an important technique, but there are many questions it simply can’t answer. How LLamaIndex is helping provide those answers.
However, according to Jerry Liu, co-founder and CEO of LlamaIndex, basic RAG systems can have primitive interfaces and poor quality understanding and planning, lack function calling or tool use and are stateless (with no memory). “LlamaParse is currently the best technology I have seen for parsing complex document structures for enterprise RAG pipelines,” said Dean Barr, applied AI lead at global investment firm The Carlyle Group. “Its ability to preserve nested tables, extract challenging spatial layouts and images is key to maintaining data integrity in advanced RAG and agentic model building.”
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