Из-за периодической блокировки нашего сайта РКН сервисами, просим воспользоваться резервным адресом:
Загрузить через ClipSave.ruУ нас вы можете посмотреть бесплатно Pinecone's New *Hybrid* Search - the future of search? или скачать в максимальном доступном качестве, которое было загружено на ютуб. Для скачивания выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса savevideohd.ru
Vector search has unlocked the door to another level of relevance and efficiency in semantic search and information retrieval. In the past year, the number of vector search use cases has exploded, showing no signs of slowing down. The capabilities of vector search are impressive, but it isn’t a perfect technology. In fact, without big domain-specific datasets to fine-tune models on, a traditional search still has some advantages. We repeatedly see that vector search unlocks incredible and intelligent retrieval but struggles to adapt to new domains. Whereas traditional search can cope with new domains but is fundamentally limited to a set performance level. Both approaches have pros and cons, but what if we merge them somehow to eliminate a few of those cons? Could we create a hybrid search with the heightened performance potential of vector search and the zero-shot adaptability of traditional search? This video will show us how to take our search to a new level. Taking both vector and traditional search and merging them via Pinecone’s new hybrid search. 🌲 Pinecone article: https://www.pinecone.io/learn/hybrid-... 🐺 Hybrid Search Early Access! https://www.pinecone.io/hybrid-search... 🤖 AI Dev Studio: https://aurelio.ai/ 👾 Discord: / discord