5 postswith this tag
We tested Gemini 2.5 Flash Lite with the v3 prompt on 100 random images from the Official Journal of the Federation. Zero errors, 2.3s average per image, and an estimated $41 USD to process the ~97,000 images in the full corpus.
From the downloaded WORD file to structured Markdown ready for embeddings: a walkthrough of our complete processing pipeline that includes LibreOffice conversion, custom LUA filters, Gemini image analysis, and a robust directory architecture.
A comparative analysis of three embedding models (Nomic Embed, Gemini, Jina) evaluating speed, quality, and stability in vector search for Mexican official documents.
An analysis of the challenges encountered during the integration of Google's AI models in the DOF RAG project, managing evolving libraries, and solving API-related issues.
A comparative analysis of different AI models in the task of describing images for the DOF-RAG project.
