VisualRAG
VisualRAG is a multi-modal AI pipeline that lets you: Index images — YOLOv8 detects objects; CLIP encodes each image into a 512-d vector stored in FAISS Query with text — Ask any natural language question; CLIP retrieves the most visually similar images; Zephyr-7B generates a grounded answer
Pull requests are welcome! For major changes, please open an issue first.
⚡ How to use VisualRAG
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/faraz-369-visualragCapabilities
Do you own VisualRAG?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.