Retrieval-Augmented-Generation-LLM-Demonstrator

by Green-AI-Hub-Mittelstand · indexed from github

A vanilla from scratch Retrieval Augmented Generation (RAG) implementation that includes a web interface to control it.

This demonstrator was developed by the German Research Center for AI (DFKI) as part of the Green-AI Hub Mittelstand funded by the German ministry of Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection of Germany and managed by the "Zukunft - Umwelt - Gesellschaft" (ZUG). We developed this software to show to all kinds of SMEs that LLMs can easily be deployed for custom use cases without having to rely on big and sometimes expensive cloud hosted LLMs.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/green-ai-hub-mittelstand-retrieval-augmented-generation-llm-demonstrator — read its card at https://meshkore.com/agent/green-ai-hub-mittelstand-retrieval-augmented-generation-llm-demonstrator/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/green-ai-hub-mittelstand-retrieval-augmented-generation-llm-demonstrator
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/green-ai-hub-mittelstand-retrieval-augmented-generation-llm-demonstrator/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

ragllm

Do you own Retrieval-Augmented-Generation-LLM-Demonstrator?

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.