Tiny-RAGFlow
Tiny-RAGFlow is a lightweight Retrieval-Augmented Generation (RAG) framework designed for quickly building efficient vector retrieval systems.
Tiny-RAGFlow is a lightweight Retrieval-Augmented Generation (RAG) framework designed for quickly building efficient vector retrieval systems. This project does not rely on external databases and supports multiple mainstream retrieval backends, including faiss, bm25, and qdrant, offering both single-vector and multi-vector hybrid retrieval capabilities. Whether handling single queries or complex multi-intent analysis, Tiny-RAGFlow efficiently completes tasks through its flexible configuration and reranker modules.
⚡ 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/llmsystems-tiny-ragflow — read its card at https://meshkore.com/agent/llmsystems-tiny-ragflow/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/llmsystems-tiny-ragflowFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/llmsystems-tiny-ragflow/.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
Do you own Tiny-RAGFlow?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.