NetraEmbed
Released by Cognitive-Lab in 2025, NetraEmbed is an chat model. NetraEmbed is an open-weights chat model.
by Cognitive-Lab
Best for
- visual document retrieval
Ways to use NetraEmbed in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Cognitive-Lab API key. osFoundry discovers NetraEmbed 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
NetraEmbed 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.
NetraEmbed vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about NetraEmbed
Is NetraEmbed free to use?
NetraEmbed 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 NetraEmbed 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 NetraEmbed locally?
Yes. NetraEmbed is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is NetraEmbed best at?
NetraEmbed is well-suited to visual document retrieval.
How do I use NetraEmbed in osFoundry?
Paste your Cognitive-Lab API key in the key dialog (or deploy the open weights for self-hostable models), assign NetraEmbed to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Cognitive-Lab on December 1, 2025. Source: https://huggingface.co/Cognitive-Lab/NetraEmbed