Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Embeddings is an AI and machine learning solution designed to convert text and other supported data into numerical vector representations. These vector embeddings enable applications to understand semantic relationships, measure similarity, and perform intelligent search and retrieval operations.
The solution supports common AI workflows including semantic search, similarity matching, document retrieval, recommendation systems, clustering, and Retrieval-Augmented Generation (RAG). It is suitable for developers, AI engineers, researchers, and organizations building intelligent applications that require efficient vector-based data representation and analysis.
Show the rest of the publisher’s description (15 more lines)
Features of Embeddings:
- Generates numerical vector representations from text and supported data.
- Supports semantic search and similarity matching use cases.
- Enables integration with vector databases and AI applications.
- Supports Retrieval-Augmented Generation (RAG) workflows.
- Useful for document retrieval, recommendation systems, and clustering.
- Designed for integration with modern AI and machine learning applications.
Embeddings usage:
$ sudo su
$ apt update
$ cd /opt
$ cd embeddings
$ source /opt/embeddings/venv/bin/activate
$ python test_embeddings.py
Disclaimer: Embeddings is provided “as is” under applicable software and open-source license terms. Users are responsible for validating generated embeddings, securing API keys and application data, and properly configuring integrations. This solution is best suited for semantic search, similarity analysis, recommendation systems, RAG applications, and other AI and machine learning workloads.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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