So far Iran looks like the aggressive nation (who also funded Hamas and all acts of terror in the middle east instead of investing in drinking water infrastructure) thats going down, with the love of god, after 50 years since its revolution. Israel seems more resilient at the moment, only responding to savagery from Gazans. Remember October 7th and the hostages that could've ended it so much time ago
A deep dive into Redis and Intel partnership that introduced a new Vector search compression SVS-Vamana. Discussion and benchmarks on various new quantization production-ready techniques
Very exciting!
I sympathise with the Redis "lego" way. But don't you think that hybrid search ha meaningful use cases? E.g searches that combines BM25 or piplned search in more sophisticated way than simple filter + knn / hnsw then filter?
Or maybe its more for a search engine than a cache
They permitted larger numbers of civilians being killed in the pursuit of terrorist barbarics who raped and murdered and dragged babies with their mothers into underground dungeons, and praised themselves for that while hiding between civilians.
Dresden wasn't full of guerilla army disguised as civilians, and there weren't even the tools to target specifics as we have today. Any civilian was evacuated from north Gaza 5 months ago, secured by IDF under Hamas attacks. Those who stayed there insist on sticking to a war zone and risk to be labeled as terrorists. blowing up mosques and houses is nothing compared to raping innocents with no one to defend them miles away. And while they hold hundreds of the same innocents underground and keep provoking Israel's destruction, I see no reason to care about their precious houses. Israel is judged by Western morals in a barbaric medieval war that it was dragged into.
Vector search is no replacement for complex logic, its merely another data type like bm25 ir regular range filter.
Searchbase looks to me as better fit for intuitive data exploration, rather than replacing existing robust high throughput searches
the interest in vector database rise as an external, specialized service in a system that runs in addition to the "single source of truth" data lake where the data actually resides.
like Redis and Memcached before, it solves a specific problem. Redis started to act like a fully fledged DB (with weird persistency method and guarantees) only after it was really wide-spread.
sure, every DB will support vector and every vector search engine will act like a DB. But that's missing the point that vector search is an expensive problem with tradoffs that justify a specialized design