Intel® AI for Enterprise RAG Retrieval Service for retrieving relevant documents and context
10K+
Part of the Intel® AI for Enterprise RAG (ERAG) ecosystem.
The OPEA ERAG Retriever service fetches the most relevant context from a vector database based on user queries. This microservice is a core component of the RAG pipeline, efficiently retrieving documents that are semantically similar to the input query to provide accurate and contextually relevant responses. The Retriever searches and fetches relevant information, documents, or data from a database based on an embedding query. It uses vector search as provided by the selected database. The query algorithm and configuration should be included in the request to this microservice.
Support for specific vector databases:
| Vector Database | Status |
|---|---|
| REDIS | ✓ |
| REDIS-CLUSTER | ✓ |
OPEA ERAG is licensed under the Apache License, Version 2.0.
Copyright © 2024–2026 Intel Corporation. All rights reserved.
Content type
Image
Digest
sha256:9d2626907…
Size
536.1 MB
Last updated
5 months ago
docker pull opea/erag-retriever