How we index images for RAG
Technical documentation platform Kapa explains their method for indexing images in RAG pipelines by using vision models to generate text descriptions at indexing time. This approach improves retrieval performance and user experience without the high latency of processing images during queries.
Why it matters
Optimizing RAG pipelines is critical for the scalability and accuracy of AI-driven technical support and knowledge management systems.
Reading the screenshots, diagrams and tables in technical documentation for LLMs
The content is a technical case study focused on engineering methodology.
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