RAGFlowChain
A comprehensive toolkit for building Retrieval-Augmented Generation (RAG) pipelines, including data loading, vector database creation, retrieval, and chain management.
RAGFlowChain is a powerful and flexible toolkit designed for building Retrieval-Augmented Generation (RAG) pipelines. This library integrates data loading from various sources, vector database creation, and chain management, making it easier to develop advanced AI solutions that combine retrieval mechanisms with generative models.
⚡ 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/kwadwo-daddy-nyame-owusu-boakye-ragflowchain — read its card at https://meshkore.com/agent/kwadwo-daddy-nyame-owusu-boakye-ragflowchain/.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.
https://meshkore.com/agent/kwadwo-daddy-nyame-owusu-boakye-ragflowchainFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kwadwo-daddy-nyame-owusu-boakye-ragflowchain/.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
Do you own RAGFlowChain?
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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