TurkEmbed4Retrieval
Built by newmindai, TurkEmbed4Retrieval is an embedding model. TurkEmbed4Retrieval is an open-weights embed model.
by newmindai
Best for
Ways to use TurkEmbed4Retrieval in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your newmindai API key. osFoundry discovers TurkEmbed4Retrieval 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
TurkEmbed4Retrieval 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.
TurkEmbed4Retrieval vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TurkEmbed4Retrieval
Is TurkEmbed4Retrieval free to use?
TurkEmbed4Retrieval 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 TurkEmbed4Retrieval 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 TurkEmbed4Retrieval locally?
Yes. TurkEmbed4Retrieval is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TurkEmbed4Retrieval best at?
TurkEmbed4Retrieval is well-suited to sentence similarity.
How do I use TurkEmbed4Retrieval in osFoundry?
Paste your newmindai API key in the key dialog (or deploy the open weights for self-hostable models), assign TurkEmbed4Retrieval to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by newmindai on July 30, 2025. Source: https://huggingface.co/newmindai/TurkEmbed4Retrieval