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How we index images for RAG
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Overview
Kapa.ai indexes millions of images, including screenshots and diagrams, to enhance AI assistants that answer technical questions. Images are processed in a way that they are not sent to the model at query time, optimizing their utility in the retrieval-augmented generation (RAG) pipeline.
Summary from kapa.ai.
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Hacker News · kapa.ai
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Based on 5 sampled comments from this thread. Analyzed 2026-06-03.
- Praise: Describing images at indexing time with a cheap vision model enhances retrieval outcomes, demonstrating an effective method for integrating visual data into text-based systems.
- Praise: The approach of generating text descriptions for important images allows agents to better understand visual content, significantly improving search and retrieval capabilities.
- Concern: The non-deterministic nature of LLMs raises concerns that new models may interpret data differently, potentially revealing context that was previously overlooked and necessitating reprocessing.