Show HN: I compressed 10k PDFs into a 1.4GB video for LLM memory

Summary

Memvid - Video-Based AI Memory 🧠📹 The lightweight, game-changing solution for AI memory at scale Memvid revolutionizes AI memory management by encoding text data into videos, enabling lightning-fast semantic search across millions of text chunks with sub-second retrieval times. Unlike traditional vector databases that consume massive amounts of RAM and storage, Memvid compresses your knowledge base into compact video files while maintaining instant access to any piece of information. 🎥 Demo mem.mp4 ✨ Key Features 🎥 Video-as-Database : Store millions of text chunks in a single MP4 file : Store millions of text chunks in a single MP4 file 🔍 Semantic Search : Find relevant content using natural language queries : Find relevant content using natural language queries 💬 Built-in Chat : Conversational interface with context-aware responses : Conversational interface with context-aware responses 📚 PDF Support : Direct import and indexing of PDF documents : Direct import and indexing of PDF documents 🚀 Fast Retrieval : Sub-second search across massive datasets : Sub-second search across massive datasets 💾 Efficient Storage : 10x compression compared to traditional databases : 10x compression compared to traditional databases 🔌 Pluggable LLMs : Works with OpenAI, Anthropic, or local models : Works with OpenAI, Anthropic, or local models 🌐 Offline-First : No internet required after video generation : No internet required after video generation 🔧 Simple API: Get started with just 3 lines of code 🎯 Use Cases 📖 Digital Libraries : Index thousands of books in a single video file : Index thousands of books in a single video file 🎓 Educational Content : Create searchable video memories of course materials : Create searchable video memories of course materials 📰 News Archives : Compress years of articles into manageable video databases : Compress years of articles into manageable video databases 💼 Corporate Knowledge : Build company-wide searchable knowledge bases : Build company-wid...