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Video-based AI memory library. Store millions of text chunks in MP4
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.
owl-indexer generates full text index of OWL literal via either Apache Lucene or Sphinx Search. It is based on OWL API (https://github.com/owlcs/owlapi).
*** IMPORTANT NOTICE ***
The source code of the earliest version of the EARMARK Data Structure is now available at
http://www.github.com/essepuntato/EarmarkDataStructure
Even if the SourceForge repository is still active, it concerns old versions of the API and it is not maintained anymore.
*** SERVICE DESCRIPTION ***
Extremely Annotational RDF Markup (EARMARK) is an ontological approach to the specification of markup structures on text content. It allows not only documents...