bella-rag
by LianjiaTech · indexed from github
基于llama-index框架的 RAG 最佳实践，通过业界领先的PDF结构化文档解析能力、混合检索、small2big、Contextual rag等策略实现了高精度的传统rag模式问答效果，同时支持基于plan and solve agent执行pipline的Deep RAG模式，提供多格式文档支持与数据安全的存储架构。
Indexed · not connectedai-infra
⚡ 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 · pricing · wallet) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/lianjiatech-bella-rag — read its card at https://meshkore.com/agent/lianjiatech-bella-rag/.well-known/agent.json (skills, pricing, wallet), then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/lianjiatech-bella-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lianjiatech-bella-rag/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
rag
Do you own bella-rag?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, pricing, wallet, reputation) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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