Vision-Based, Vectorless RAG for Long Douments
In modern document question answering (QA) systems, Optical Character Recognition (OCR) serves an important role by converting PDF pages into text that can be processed by Large Language Models (LLMs). The resulting text can provide contextual input that enables LLMs to perform question answering over document content. Traditional OCR systems typically use a two-stage process that first detects the layout of a PDF — dividing it into text, tables, and images — and then recognizes and converts these elements into plain text. With the rise of vision-language models (VLMs) (such as Qwen-VL and…
Vision-Based, Vectorless RAG for Long Douments launched on October 31, 2025 with 6 votes and more than 75% of that year's launches.
What it does
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG - PageIndex/cookbook/vision_RAG_pageindex.ipynb at main · VectifyAI/PageIndex
In the maker’s words, at launch
In modern document question answering (QA) systems, Optical Character Recognition (OCR) serves an important role by converting PDF pages into text that can be processed by Large Language Models (LLMs). The resulting text can provide contextual input that enables LLMs to perform question answering over document…
Does a similar job
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- PTPDFs that are readable by human eyes only2022 · humaneyesonly.com · ▲216
Hi, OP here. A friend was involved in a custody battle and was afraid his ex was going to leak all of his discovery documents on the internet and he asked if there was something I could do to make it harder for bots/crawlers to find sensitive information. Originally I was going to turn all of his docs to image based PDFs, but those get large fast and are easy to OCR. So I found a post musing about altering fonts/glyphs so that it looks like english, but the actual character being seen by the pdf reader is a non-english character. As such, when you try to OCR these files, it doesn't…
PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o2024 · github.com · ▲191I've developed a Python API service that uses GPT-4o for OCR on PDFs. It features parallel processing and batch handling for improved performance. Not only does it convert PDF to markdown, but it also describes the images within the PDF using captions like `[Image: This picture shows 4 people waving]`. In testing with NASA's Apollo 17 flight documents, it successfully converted complex, multi-oriented pages into well-structured Markdown. The project is open-source and available on GitHub. Feedback is welcome.
OCR Text Detection Tool2019 · apps.microsoft.com · ▲92Fast and efficient text recognition from any image and PDF
OCR Benchmark Focusing on Automation2025 · nanonets.com · ▲58OCR/Document extraction field has seen lot of action recently with releases like Mixtral OCR, Andrew Ng's agentic document processing etc. Also there are several benchmarks for OCR, however all testing for something slightly different which make good comparison of models very hard. To give an example, some models like mixtral-ocr only try to convert a document to markdown format. You have to use another LLM on top of it to get the final result. Some VLM’s directly give structured information like key fields from documents like invoices, but you have to either add business rules on top…
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