Intel® AI for Enterprise RAG Retrieval Service for retrieving relevant documents and context
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Part of the Intel® AI for Enterprise RAG ecosystem.
The Intel® AI for Enterprise RAG 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 | ✓ |
Intel® AI for Enterprise RAG is licensed under the Apache License, Version 2.0.
Copyright © 2024–2026 Intel Corporation. All rights reserved.
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Image
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sha256:50b69132a…
Size
209.2 MB
Last updated
24 days ago
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