Rachis

Pain map

What breaks in document AI

290 production incidents from public threads. Every quote links to its source. Pick a category and check it yourself.

Batches, timeouts, slow ingestion

Filters

19 of 19 quotes

  • “Two public PDFs made the ingestor die 49 times in about 3 hours (33 OOM kills, 16 panics)”
    GitHub, ragflow · 14 October 2026 · open the thread
  • “We had to move off Textract because our documents cannot leave our own cloud.”
    Reddit, r/Rag · 29 September 2026 · in production · open the thread
  • “causes a "Timed out waiting for result of task XX" timeout error when mineru processes larger PDF documents, leading to task failure.”
    GitHub, MinerU · 14 September 2026 · open the thread
  • “I’m working with large amount of papers so it’s not possible to audit each separately.”
    Hugging Face forum · 24 August 2026 · open the thread
  • “After batch uploading documents to a newly created dataset, the metadata of all documents across all existing datasets in the account was unexpectedly and completely cleared.”
    GitHub, ragflow · 17 July 2026 · in production · open the thread
  • Hit this one too? We are building for it.

  • “From my experience, Docling without VLM does a good job, but it's too slow to process large volumes.”
    Reddit, r/Rag · 21 June 2026 · in production · open the thread
  • “silent failure caused by router timeout when processing multiple pdf”
    GitHub, MinerU · 17 May 2026 · open the thread
  • “We can not process large PDF files in pure CPU mode, because the program exceeds the maximum allowed time, causing the normally running progress to be forcibly terminated.”
    GitHub, MinerU · 8 May 2026 · open the thread
  • “When using docling to convert multiple docx files in a multithreaded environment, failure files may occur.”
    GitHub, docling · 25 April 2026 · open the thread
  • “An extraction job was submitted successfully but never progressed.”
    GitHub, llama_cloud_services · 18 March 2026 · open the thread
  • “PaddleOCR再运行10分钟左右,ragflow报错read time out,但PaddleOCR还在正常运行。”
    GitHub, ragflow · 4 March 2026 · open the thread
  • “the inconsistent timing in tier="agentic" makes SLA guarantees and timeout tuning impossible”
    GitHub, llama_index · 2 March 2026 · in production · open the thread
  • “docling is taking more than 20 mins to process the document. This feature is required in my application on frontend, so user experince perspective 20 mins are long time”
    GitHub, docling · 19 January 2026 · in production · open the thread
  • “I had a bit of a nightmare integrating a docling pipeline earlier this year. Docs said it was VLM-ready, which I spent lots of hours finding out was not true”
    Hacker News · 18 December 2025 · open the thread
  • “when dealing with large PDFs (over 500 pages), the document conversion process takes too long.”
    GitHub, docling · 28 November 2025 · open the thread
  • “I make the api request to docling serve and poll for response and it always times out (currently the max timeout is set to 2400 seconds).”
    GitHub, docling · 16 November 2025 · in production · open the thread
  • “After the batch import fails, I've tried parsing each document individually, and it parses successfully each time.”
    GitHub, ragflow · 14 November 2025 · open the thread
  • “the entire process of converting to Markdown takes up to 10 minutes.”
    GitHub, marker · 10 November 2025 · open the thread
  • “V0.20.4 DeepDoc batch upload parsing speed is slow (2000 files), consistently below 1%”
    GitHub, ragflow · 10 November 2025 · open the thread
  • Hit this one too? We are building for it.

Method

We collected 448 public posts published after 1 November 2025 in which a builder describes document AI failing. Each link was re-opened on 8 November 2026. We kept the 290 where the quote is on the page, the author describes an incident and not an opinion, and has no tie to a vendor. Quotes are verbatim and trimmed after 420 characters. The grouping is ours. A complaint is not a measurement.