MinerU: The Secret to High-Quality RAG with Clean Document Parsing

Stop feeding garbage to your RAG pipeline. Use MinerU to parse complex PDFs, tables, and images into clean Markdown and JSON for superior retrieval.

Stop feeding garbage to your RAG pipeline. Use MinerU to parse complex PDFs, tables, and images into clean Markdown and JSON for superior retrieval.

Upgrade your AI with advanced RAG techniques. Explore semantic chunking, reranking, and Agentic RAG architectures to eliminate hallucinations.

Stop writing test questions manually. Use RAGProbe to automatically generate adversarial queries from your chunk topology and find RAG failures early.

Master your data with RAGFlow, an open-source engine that combines deep document understanding with agentic workflows to eliminate AI hallucinations.

Achieve research-level multi-hop question answering without GPUs using MOTHRAG, a deterministic and agentic-style framework for LLM applications.

Bridge the gap from prototype to production with Dify. Build, monitor, and scale LLM apps using RAG, agents, and integrated observability tools.