Basically, AI didn’t replace me, AI accelerated me or improved me with feedback about my work. And I believe that (regardless of the popularity of RAG, which is not necessarily the main application, nor the most future proof or useful, as models contexts are becoming larger and larger, and soon popular models attention may have linear complexity), sorry for the digression, I was saying that I believe that learned embeddings are here to stay, and vector search is something that belongs to Redis for several reasons: first because vector indexes are data structures, particularly slow data structures, and such data structures can work very well in memory.
Redis 作者对 AI 的看法，期待 Redis 成为应用开发者使用向量存储的最佳选择
https://antirez.com/news/144
Redis 作者对 AI 的看法，期待 Redis 成为应用开发者使用向量存储的最佳选择
https://antirez.com/news/144