Summary
Ask questionsR2R is an open-source, production-ready AI retrieval system that provides agentic Retrieval-Augmented Generation (RAG) with a RESTful API. It supports multimodal content ingestion, hybrid search, and knowledge graphs, enabling developers to build advanced AI applications for complex queries and context-aware answers.
Features2/31
See allMust Have
1 of 9
Semantic Search
AI File Chat
Automated Sorting Rules
Cloud Storage Integration
Privacy Controls
Automated Folder Organization
Conversational AI Interface
File Editing & Renaming
User Feedback Learning
Other
1 of 22
Content-based Q&A
Feedback-Driven Refinement
Manual Approval Workflow
Demo Mode
Local File Access
Usage Credits & Quotas
Multi-User Collaboration
Enterprise SSO & Compliance
Centralized Team Billing
Advanced AI Model
Data Encryption & Security
Cloud Storage Integrations
Local File System Access
File Cleaning & Deduplication
Security & Privacy Controls
Version History
Multi-tier Pricing Plans
User Roles & Permissions
Cross-platform Support
Bulk Operations & Batch Processing
Customizable Sorting Rules
Notifications & Reminders
PricingFreemium
See allFree
- Unlimited public/private repositories
- Dependabot security and version updates
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
- Issues & Projects
- Community support
Team
- Everything included in Free
- Access to GitHub Codespaces
- Protected branches
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
- Web-based support
Enterprise
- Everything included in Team
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate (ATO)
- SAML single sign-on
- Advanced auditing
- GitHub Connect
- 50,000 CI/CD minutes/month (Free for public repositories)
- 50GB of Packages storage (Free for public repositories)
Rationale
R2R is an open-source RAG engine that focuses on AI retrieval and generation. While it offers semantic search and content-based Q&A, it is primarily a developer tool for building AI applications, rather than an end-user file organization solution like Dynbox. It lacks explicit features for automated file sorting, editing, renaming, or direct integration with cloud storage for file management purposes, which are core to Dynbox's offering.
