Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on Microsoft Marketplace.
R2R is an open-source Retrieval-Augmented Generation (RAG) platform designed to build AI-powered knowledge and search applications. It provides document ingestion, semantic and hybrid search, retrieval, knowledge graph capabilities, and APIs for connecting Large Language Models (LLMs) with private or organizational data, making it suitable for developers, researchers, enterprises, and organizations building production-ready AI knowledge systems.
Key Features of R2R:
Show the rest of the publisher’s description (23 more lines)
- Open-source platform for building Retrieval-Augmented Generation (RAG) applications.
- Supports document ingestion and processing from multiple sources.
- Provides semantic search and retrieval capabilities.
- Supports hybrid search combining different retrieval methods.
- Provides vector-based information retrieval.
- Supports knowledge graph and GraphRAG-based workflows.
- Provides APIs for integrating RAG capabilities into applications.
- Supports Large Language Model (LLM) integrations.
- Enables AI applications to retrieve relevant information from private data.
- Provides document and knowledge management capabilities.
- Supports configurable RAG and retrieval workflows.
- Can be self-hosted on servers and compatible cloud infrastructure.
- Supports Docker-based deployment for simplified installation and management.
- Suitable for enterprise knowledge bases, AI assistants, document search, and research applications.
- Suitable for developers, researchers, enterprises, and organizations building AI-powered knowledge systems.
R2R Usage:
$ sudo su
$ cd /opt/R2R
$ source venv/bin/activate
$ r2r --version
R2R Installation Directory: /opt/R2R
Disclaimer:
R2R is open-source AI retrieval and RAG software developed by its respective maintainers and contributors. R2R is not affiliated with or endorsed by any third-party AI organization, cloud provider, operating system, hardware manufacturer, or AI model provider mentioned for compatibility, integration, or deployment purposes.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
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
Reconciled on 9/3/2026
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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.