31. One entity doesn’t always mean one vector. A video has clips. A product has multiple images. A docu... One entity doesn’t always mean one vector. A video has clips. A product has multiple images. A document has passages. Compressing them into a single embedding can hide the exact de 09/02 02:20 ♡
32. Upgrading an embedding model creates a deceptively large data problem. You may have billions of exi... Upgrading an embedding model creates a deceptively large data problem. You may have billions of existing records in Milvus, and Spark has already generated their new embeddings as 08/28 23:34 ♡
33. Milvus 3.0 StructArray brings multi-vector search inside a single entity. A video can keep all its ... Milvus 3.0 StructArray brings multi-vector search inside a single entity. A video can keep all its clip embeddings, a document all its passage embeddings, and a product all its ima 08/27 23:52 ♡
34. 🚀 𝗖𝗼̂́𝗰 𝗖𝗼̂́𝗰 𝗽𝗼𝘄𝗲𝗿𝘀 𝗩𝗶𝗲𝘁𝗻𝗮𝗺’𝘀 𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹-𝘀𝗰𝗮𝗹𝗲 𝗔𝗜 𝘀𝗲𝗮𝗿𝗰𝗵 ... 🚀 𝗖𝗼̂́𝗰 𝗖𝗼̂́𝗰 𝗽𝗼𝘄𝗲𝗿𝘀 𝗩𝗶𝗲𝘁𝗻𝗮& 08/26 23:50 ♡
37. We just open-sourced 𝗠𝗶𝗹𝘃𝘂𝘀 𝗳𝗼𝗿 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 𝗛𝗮𝗿𝗻𝗲𝘀𝘀: DeepSeek Harness(DSH) plug... We just open-sourced 𝗠𝗶𝗹𝘃𝘂𝘀 𝗳𝗼𝗿 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 &#x 08/25 23:57 ♡
38. 𝗪𝗲 𝗯𝗿𝗼𝘂𝗴𝗵𝘁 𝗠𝗲𝗺𝗦𝗲𝗮𝗿𝗰𝗵 𝘁𝗼 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 𝗛𝗮𝗿𝗻𝗲𝘀𝘀, 𝗴𝗶𝘃𝗶𝗻𝗴 𝗶𝘁 ... 𝗪𝗲 𝗯𝗿𝗼𝘂𝗴𝗵𝘁 𝗠𝗲𝗺𝗦𝗲𝗮𝗿𝗰𝗵 𝘁Ǖ 08/25 10:03 ♡
39. Regex becomes an engineering problem when it has to scan millions of rows safely and predictably. ... Regex becomes an engineering problem when it has to scan millions of rows safely and predictably. 𝗠𝗶𝗹𝘃𝘂𝘀 𝟯.𝟬 ᵞ 08/22 04:55 ♡
40. 🌐 𝗙𝗮𝘀𝘁𝗲𝗿 𝗮𝗻𝗱 𝗠𝗼𝗿𝗲 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗙𝘂𝗹𝗹-𝗧𝗲𝘅𝘁 𝗦𝗲𝗮𝗿𝗰𝗵 𝘄𝗶𝘁𝗵 ... 🌐 𝗙𝗮𝘀𝘁𝗲𝗿 𝗮𝗻𝗱 𝗠𝗼𝗿𝗲 𝗣𝗼𝘄𝗲𝗿 08/21 23:30 ♡
