Posts
All the articles I've posted.
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Diminishing Returns and the Art of Knowing When to Stop
I trained three generations of ColQwen3.5, each with more sophisticated optimization than the last. The most optimized version barely beat the previous one on the primary benchmark (+0.0011 nDCG@5). Individual tasks reshuffled substantially, with per-task swings an order of magnitude larger than the aggregate gain.
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Closing the AI Value Gap: Insights from Research
Enterprise AI adoption has reached 88%, yet only 5% of pilots deliver measurable impact. Research from MIT, BCG, and RAND reveals what separates successful implementations from the rest. It's not the technology.
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Implementing Spatially-Grounded Document Retrieval via Patch-to-Region Propagation
A deep dive into my recent research on spatially-grounded document retrieval using ColPali models and OCR bounding boxes, enabling precise region-level retrieval during inference time and without additional training.
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Snappy: Your Vision Retrieval Buddy!
How Snappy evolved from the nextjs-fastapi-colpali template into a vision-first document retrieval system
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The Most Beautiful RAG: Starring ColPali, Qdrant, Minio and Friends
Updated:An end-to-end, page-level Vision RAG template with ColPali-style embeddings, Qdrant multivector retrieval (with optional binary quantization), and MinIO-backed storage — dockerized and API-first.
Athrael.net