@llama_index
LlamaIndex has evolved far beyond a RAG framework - we're now focused on agentic document processing that automates knowledge work. π Agent orchestration has fundamentally changed with sophisticated reasoning loops, tool discovery through Skills/MCP, and coding agents that write Python for you π Document understanding remains a massive opportunity - frontier vision models still struggle with complex tables, charts, and long documents at scale π’ LlamaParse now processes 300k+ users across 50+ formats for enterprises like @OneCarlyle, @CEMEX, and @KPMG with multi-agent workflows combining OCR, computer vision, and LLM reasoning βοΈ Real automation potential exists in workflows where humans manually process documents daily - financial analysis, contract review, insurance underwriting can all become end-to-end agentic processes Our mission is now providing core infrastructure to automate knowledge work over documents, not just being connective tissue between LLMs and data. Read about our evolution and what's next: https://t.co/M0DbsIdGrF