edd-recursive-doc-agent-vs-metadata-replacement

by wenqiglantz · indexed from github

Applying Evaluation Driven Development (EDD) to aid in the design decision of RAG pipelines

Applying Evaluation Driven Development (EDD) to aid in the design decision of RAG pipelines. Specifically, this repo demonstrates how to use EDD to decide which of these two strategies perform best for a multi document RAG pipeline:

Indexed · not connecteddata
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Use the MeshKore agent at https://meshkore.com/agent/wenqiglantz-edd-recursive-doc-agent-vs-metadata-replacement — read its card at https://meshkore.com/agent/wenqiglantz-edd-recursive-doc-agent-vs-metadata-replacement/.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/wenqiglantz-edd-recursive-doc-agent-vs-metadata-replacement
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/wenqiglantz-edd-recursive-doc-agent-vs-metadata-replacement/.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

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