edgerag
On-device Retrieval-Augmented Generation using Qdrant Edge, Qwen3 embeddings, and Gemma4.
Edge RAG is a fully local, offline-first Retrieval-Augmented Generation system that runs entirely on your device — no cloud APIs, no data leaving your machine. Drop in a PDF, and the system indexes it into a local vector database, then answers questions using a small but capable language model.
⚡ How to use edgerag
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/danselem-edgeragCapabilities
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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.
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