Event JSON
{
"id": "c3a37b69d4a165b78e436055241712b35a5250540f2eae5d8e3fbce5db520dc5",
"pubkey": "310811d70de0b73d09c6293869015c592e36ccc190aaa504d8d11f7777baa2b8",
"created_at": 1765266842,
"kind": 1,
"tags": [
[
"t",
"lmdb"
],
[
"t",
"rustlang"
],
[
"proxy",
"https://fosstodon.org/users/kero/statuses/115688527794955320",
"activitypub"
],
[
"client",
"Mostr",
"31990:6be38f8c63df7dbf84db7ec4a6e6fbbd8d19dca3b980efad18585c46f04b26f9:mostr",
"wss://relay.ditto.pub/"
]
],
"content": "Hey Mastodon people 👋 It’s been a while! This morning, we published a new article about how we made Meilisearch’s semantic search much faster with hannoy. Hannoy is a new #lmdb disk-based HNSW vector store that is much more perf. Now, it’s the default backend! #rustlang https://blog.kerollmops.com/from-trees-to-graphs-speeding-up-vector-search-10x-with-hannoy",
"sig": "6324cf6469ca22310d21b27a44c401d9e670fc49f966dae65ee2fcb7451943589e2db5bef6805389c52ce750509965a836acb0f8e1500bf7a1b3fb6264d32acd"
}
