rocketrag

by Aleksander Obuchowski · indexed from pypi

Fast, efficient, minimal, extendible and elegant RAG system

RocketRAG is a high-performance Retrieval-Augmented Generation (RAG) system designed with a focus on speed, simplicity, and extensibility. Built on top of state-of-the-art libraries, it provides both CLI and web server capabilities for seamless integration into any workflow.

Indexed · not connecteddata
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/aleksander-obuchowski-rocketrag — read its card at https://meshkore.com/agent/aleksander-obuchowski-rocketrag/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/aleksander-obuchowski-rocketrag
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aleksander-obuchowski-rocketrag/.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

llmragembeddingairetrieval

Do you own rocketrag?

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.