{"version":"1.0","type":"card","id":"0d63387d-ec86-4a63-9889-d6de5eb36513","url":"https://stacklist.com/card/0d63387d-ec86-4a63-9889-d6de5eb36513","title":"Google's Algorithm Reduces Memory Usage with TurboVec","source_url":"https://x.com/dr_cintas/status/2062941225133510658","note":"Google's new algorithm just shrunk 31GB of memory down to 4GB 🤯 TurboVec is a new open-source tool that stores the data your AI app searches through, using 16x less memory. It runs on Google's TurboQuant, which skips the slow setup step every other tool needs.","image":{"url":"https://ucarecdn.com/9339a2ee-7a16-4a02-be6b-88d55b0b599f/","alt":"Google's Algorithm Reduces Memory Usage with TurboVec","width":1280,"height":1455},"stack":{"id":"4aae218c-38d7-4c05-b7ae-f2db0029a2e8","title":"Local AI & GPUs","url":"https://stacklist.com/stack/4aae218c-38d7-4c05-b7ae-f2db0029a2e8"},"created_at":"2026-06-16T02:35:12.839Z","updated_at":null,"aco":{"summary":"Google's TurboVec is a new open-source tool that reduces memory usage for AI application vector storage by 16x, shrinking 31GB down to 4GB using the TurboQuant quantization algorithm. It offers a faster alternative to FAISS, runs fully offline, supports Mac and standard servers, and integrates directly with LangChain and LlamaIndex.","tags":["turbovec","memory-optimization","vector-search","open-source","google","ai-infrastructure","quantization"],"key_entities":[{"name":"Google","type":"organization","confidence":0.99},{"name":"TurboVec","type":"technology","confidence":0.98},{"name":"TurboQuant","type":"technology","confidence":0.95},{"name":"FAISS","type":"technology","confidence":0.9},{"name":"LangChain","type":"technology","confidence":0.92},{"name":"LlamaIndex","type":"technology","confidence":0.92},{"name":"Alvaro Cintas","type":"person","confidence":0.95},{"name":"Python","type":"technology","confidence":0.85}],"classification":"snippet","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-06-16T02:35:19.597Z"},"token_counts":{"approximate":697,"cl100k":847},"content_hash":"sha256:7e843b3e79a8424f5c0dd2797dfd0e3e4be0ca1d8a1471f8670f4eb9f66f63b5","acp_version":"0.2","body_available":true,"body_tokens":697,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/0d63387d-ec86-4a63-9889-d6de5eb36513.json","html":"https://stacklist.com/card/0d63387d-ec86-4a63-9889-d6de5eb36513","md":"/api/public/card/0d63387d-ec86-4a63-9889-d6de5eb36513.md","stack_json":"/api/public/stack/4aae218c-38d7-4c05-b7ae-f2db0029a2e8.json"}}