aiwhispr
github.comSummary
Ask questionsaiwhispr is an open-source tool that automates vector embedding pipelines for semantic search on documents. It supports various file formats and integrates with multiple cloud storage providers and vector databases, allowing users to perform AI-powered contextual searches on their content.
Features2/31
See allMust Have
2 of 9
Semantic Search
Cloud Storage Integration
AI File Chat
Automated Sorting Rules
Privacy Controls
Automated Folder Organization
Conversational AI Interface
File Editing & Renaming
User Feedback Learning
Other
0 of 22
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
Content-based Q&A
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
- Issues & Projects
- Community support
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
- $0 spend limit for GitHub Codespaces
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
- Web-based support
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
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
The candidate, aiwhispr, explicitly states its core functionality is to "Enable AI powered semantic search on your documents." It also mentions support for multiple file formats stored on "AWS S3, Azure Blob Containers, Google Cloud Storage, local directory path," which aligns with cloud storage integration. However, the conversational AI interface, automated sorting, file editing, and user feedback learning features are not clearly present or are only implied through the broader context of AI-powered search, not direct file manipulation or organization as described in Dynbox. The focus is heavily on search and indexing, not comprehensive file management.
