You've found your best RAG settings. Now how do you turn them into a real assistant your team uses every day?
In my previous post I covered how tools like AutoRAG and RAGBuilder can measure and find the best RAG combination (embedding, chunk size, reranker...) for your data. But those tools are measuring instruments — they tell you "this is the best config" and stop there. They are not the assistant that users talk to, upload documents to, and ask questions.
For building that assistant, the most mature open-source tool I can recommend: RAGFlow (80,000+ GitHub stars).
Document understanding is where it stands out
Most RAG tools read a PDF as flat text. RAGFlow's DeepDoc engine treats the document like a human would: it preserves table structure, applies OCR to scanned pages, and understands heading hierarchy. Word, Excel, PowerPoint, scanned copies, images, web pages — it handles them all.
