LlamaIndex

“We explored more rigid graph-based frameworks. But it was LlamaIndex's event-driven workflows and full control over state transitions that won us over.”

“We rebuilt our entire architecture to move beyond simple RAG. LlamaParse gives us confidence that every file a creator uploads becomes usable, trusted training data.”

“Customers tell us our document parsing is 'really, really good'—and that's in large part thanks to LlamaParse.”

“We chose LlamaIndex for our customer support agents because it handles production-scale RAG better than anything else. Our NPS improved significantly.”

“LlamaParse saved us ~2,000 engineering hours. It’s the only tool that accurately extracts data from our dense technical manuals.”

“With the Agent Client Protocol (ACP) integration, we’ve moved from 'Chat with PDF' to 'Agents that execute workflows.' The persistent memory is a game-changer.”

“LlamaSheets (Beta) is magical. It turns messy, multi-region Excel files with merged cells into structured Parquet files in seconds.”

“LlamaParse v2 is a massive leap. The new SDKs are finally type-safe and the structured configuration makes our 'vibe-coding' actually production-ready.”

“In 2026, we aren't just a RAG framework. We are the 'Agentic Document Processing' layer. If an agent needs to read, it needs LlamaIndex.”