u/FrozenBuffalo25

I'm disappointed that ChromaDB's local, free "single node" version is still getting second-class, hand-me-down features while the "distributed" version (a SaaS offering, unsurprisingly) gets built in hybrid search, BM25, etc. I tried to give the benefit of the doubt and wait, but half a year later there's not even an announcement or discussion of feature parity on the roadmap.

What are some truly open source, on-premises alternatives well suited to semantically searching and re-ranking large collections of long (200+ page) documents? Exact string matches, semantic matches, and direct retrieval by page number (or ULID) would be required.

i know the typical ”formula” to find out how much should be buried is 10% of pole depth plus 2ft, but in real world observations I’ve seen it all over the place. Like sometimes it’s closer to 15% plus 2, or even more.

Aside from bad soil, are standard scenarios where poles without guywire needs to be buried so deep?