Discover an open source project on GitHub: Memvid, which subverts the traditional way of processing vector databases and directly encodes text data into video files. By compressing millions of blocks of text into a single MP4 file, 10x storage compression is achieved and semantic search can be completed in sub-seconds, without the need for a database server. GitHub： And the built-in conversation function can have context-aware conversations with the knowledge base, and support direct import of PDF documents and automatic index processing. Works completely offline, no internet connection required after video generation. AI developers who are building large knowledge bases may wish to take a look at this project.