prosty-rag

by jglowa · indexed from huggingface

llamafile rag text-generation pl base_model:speakleash/Bielik-4.5B-v3.0-Instruct base_model:finetune:speakleash/Bielik-4.5B-v3.0-Instruct

Prosty RAG to otwartoźródłowy asystent AI oparty na polskim modelu językowym Bielik-4.5B-v3.0-Instruct, który odpowiada na pytania z prywatnej bazy wiedzy użytkownika, wykorzystując technikę RAG (Retrieval-Augmented Generation). Asystent działa w pełni lokalnie, jako dwa pliki wykonywalne na Windows/Linux/MacOS, wykorzystujące technologię llamafile i embedfile. Aplikacja jest przenośna, nie wymaga środowiska Python z mnóstwem pakietów (np. LangChain, LangGraph, LlamaIndex i podobne), automatycznie wykrywa zainstalowane biblioteki GPU (CUDA/ROCm), a w przypadku ich braku wykorzystuje CPU.

Indexed · not connectedai-infra
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/jglowa-prosty-rag — read its card at https://meshkore.com/agent/jglowa-prosty-rag/.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/jglowa-prosty-rag
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jglowa-prosty-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

llamafileragtext-generationbase_model:speakleash/Bielik-4.5B-v3.0-Instructbase_model:finetune:speakleash/Bielik-4.5B-v3.0-Instruct

Do you own prosty-rag?

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.