VisRAG-Ret
VisRAG-Ret is a embedding model from openbmb, released October 14, 2024. VisRAG-Ret is an open-weights embed model.
by openbmb
Best for
Ways to use VisRAG-Ret in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your openbmb API key. osFoundry discovers VisRAG-Ret automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
VisRAG-Ret is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
VisRAG-Ret vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about VisRAG-Ret
Is VisRAG-Ret free to use?
VisRAG-Ret is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use VisRAG-Ret commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run VisRAG-Ret locally?
Yes. VisRAG-Ret is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is VisRAG-Ret best at?
VisRAG-Ret is well-suited to feature extraction.
How do I use VisRAG-Ret in osFoundry?
Paste your openbmb API key in the key dialog (or deploy the open weights for self-hostable models), assign VisRAG-Ret to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by openbmb on October 14, 2024. Source: https://huggingface.co/openbmb/VisRAG-Ret