opensearch-neural-sparse-encoding-doc-v3-gte
opensearch-neural-sparse-encoding-doc-v3-gte (opensearch-project, 2025) is an embedding model. opensearch-neural-sparse-encoding-doc-v3-gte is an open-weights embed model.
by opensearch-project
Best for
Ways to use opensearch-neural-sparse-encoding-doc-v3-gte in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your opensearch-project API key. osFoundry discovers opensearch-neural-sparse-encoding-doc-v3-gte 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
opensearch-neural-sparse-encoding-doc-v3-gte 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.
opensearch-neural-sparse-encoding-doc-v3-gte vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about opensearch-neural-sparse-encoding-doc-v3-gte
Is opensearch-neural-sparse-encoding-doc-v3-gte free to use?
opensearch-neural-sparse-encoding-doc-v3-gte 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 opensearch-neural-sparse-encoding-doc-v3-gte 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 opensearch-neural-sparse-encoding-doc-v3-gte locally?
Yes. opensearch-neural-sparse-encoding-doc-v3-gte is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is opensearch-neural-sparse-encoding-doc-v3-gte best at?
opensearch-neural-sparse-encoding-doc-v3-gte is well-suited to feature extraction.
How do I use opensearch-neural-sparse-encoding-doc-v3-gte in osFoundry?
Paste your opensearch-project API key in the key dialog (or deploy the open weights for self-hostable models), assign opensearch-neural-sparse-encoding-doc-v3-gte to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by opensearch-project on June 18, 2025. Source: https://huggingface.co/opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte