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Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards.
Features
- Encodes text as QR in video frames
- Millisecond semantic search without DB
- Compact storage vs vector DBs
- Supports importing PDFs
- Works offline and embeddable
- Simple Python encoder/retriever API
Project Samples
Categories
Semantic WebLicense
MIT LicenseFollow Memvid
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