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klotz: vision language models* + rag*

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1. Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG

   This article explores the capacity of Vision Language Models (VLMs) to serve as advanced document parsers. It addresses the limitations of traditional text extraction methods when encountering visual elements like charts, diagrams, and tables within PDFs. By leveraging vision capabilities, these models enable more effective Retrieval-Augmented Generation (RAG) systems by interpreting multimodal content that is typically lost in standard text parsing workflows.
   * Limitations of conventional PDF text extraction
   * Capabilities of VLMs in understanding visual data structures
   * Enhancing RAG pipelines through multimodal document analysis

   2026-06-15 Tags: vision language models, vlm, pdf parsing, rag, multimodal ai, data extraction by klotz
2. IBM Granite-Docling: End-to-end document understanding

   IBM is releasing Granite-Docling-258M, an ultra-compact and cutting-edge open-source vision-language model (VLM) for converting documents to machine-readable formats while preserving layout, tables, equations, and more. It's designed for accurate and efficient document conversion and excels beyond simple text extraction.

   2025-10-14 Tags: vision language models, docling, ibm llm document, conversion, granite-docling, ocr, rag, foss by klotz

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