Vision RAG

Summary

Vision RAG (Retrieval-Augmented Generation) extends traditional text-based RAG by enabling the system to understand and extract information from visual elements such as charts, tables, and complex PDFs.

Key Components

• Multi-modal Models: Models capable of processing both text and image inputs.
• Extraction Tools: Frameworks like docling that parse visual documents into structured data for RAG pipelines.

Use Cases

• Analyzing financial charts and market reports.
• Processing complex healthcare documents and equipment charts.