Universal Content Registry for AI Applications - unified storage and semantic search for documents, posts, media
Project description
vibrary
Universal Content Registry for AI Applications
Coming Soon
vibrary is a unified system for storing and searching content of any type with semantic search capabilities.
Planned Features
- Entity Registry - Unified metadata for documents, posts, audio, video, and other media
- Information Blocks - Searchable content chunks with graph relations
- 3-Layer Hybrid Search - Dense embeddings + vocabulary matching + sparse vectors
- Hierarchical Relations - parent/child, avatar/main, revisions tracking
- Source Tracking - Origin, conversions, and format history
Use Cases
- Knowledge bases with mixed content types
- Document management with semantic search
- Media libraries with transcription/avatar support
- Legal document versioning and comparison
Installation (future)
pip install vibrary
Links
License
Apache-2.0
Release history Release notifications | RSS feed
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