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opea/erag-ovms_embedding

By opea

•Updated 3 months ago

Intel® AI for Enterprise RAG Embedding Model Server powered by OpenVINO™

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opea/erag-ovms_embedding repository overview

⁠OPEA ERAG OVMS Embedding Model Server

Part of the Intel® AI for Enterprise RAG (ERAG) ecosystem.

⁠🔍 Overview

The OPEA ERAG OVMS Embedding Model Server hosts embedding models using OpenVINO™ Model Server (OVMS), providing a scalable and efficient endpoint for generating vector embeddings from text or documents. It serves as the backend for the ERAG Embedding Microservice.

OVMS⁠ is an open-source model server that provides a scalable and efficient solution for deploying deep learning models in production environments. It is built on top of the OpenVINO™ toolkit, which enables optimized inference across a wide range of hardware platforms.

For detailed information and practical examples of how to use OpenVINO Model Server (OVMS), please refer to the OVMS documentation on the official OpenVINO Toolkit GitHub page⁠.

This service integrates with other OPEA ERAG components:

  • OPEA ERAG Embedding Microservice sends requests to this model server to obtain embeddings
  • Retriever & Reranker Microservices use embeddings generated here for improved search relevance

⁠License

OPEA ERAG is licensed under the Apache License, Version 2.0.

Copyright © 2024–2026 Intel Corporation. All rights reserved.

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sha256:572127947…

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678.1 MB

Last updated

5 months ago

docker pull opea/erag-ovms_embedding