LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems powered by visual RAG and limitless visual multi-step agent workflow orchestration.

Pixel-native visual RAG ported to Rust on the ruvector ANN substrate (HNSW + IVF-Flat) — screenshot/document retrieval over visual embeddings, a Rust port of PixelRAG, with a metaharness benchmark CLI: npx rupixel

Visual RAG pipeline searching 8.28M Wikipedia articles as screenshot tiles, matching visual layouts, and querying local Ollama LLM.

Figma Visual Memory × Claude Design Agent × MCP × Visual Skills × VAD：把教材與品牌素材自動轉化為投影片、圖卡與動畫影片的視覺內容生產線架構

Sales-Catalyst is an AI-powered assistant that automates meeting prep, product recommendations, and sales follow-ups. Using LLMs, vision, and Retrieval-Augmented Generation (RAG), it delivers real-time insights, competitor comparisons, and workflow automation in a conversational interface

AI-first Unity Visual RAG and semantic reskin pipeline with GUID-safe transactions, Theme Packs, Project Brain integration, and automated Unity gates.

Production-grade multimodal AI lab: 12 notebooks building Visual RAG (ColPali), voice agents (Whisper, code-switching ZH-EN), and video search (frames + audio + RRF). Includes sanity tests + per-phase eval harness.

Visual PDF-to-RAG parser that turns research papers and docs into Markdown, structured chunks, cropped figures/tables, and VLM-ready image descriptions.

Budgeted multi-vector visual retrieval and Visual RAG for PCB engineering documents — a pilot-scale study (101 pages, 30 queries) comparing OCR BM25, dense text, CLIP and ColPali v1.3 late-interaction retrieval.

Visual RAG system for financial document analysis using ColQwen2.5, Qdrant, Claude Opus/Sonnet