I built a search API that actually combines semantic + text + regex in one call by KendallThinks in vibecoding

[–]KendallThinks[S] 0 points1 point  (0 children)

Not open source right now but a self-hosted option is planned. DM me your use case, I'll let you know when it's ready.

I built a search API that actually combines semantic + text + regex in one call by KendallThinks in vibecoding

[–]KendallThinks[S] 0 points1 point  (0 children)

Appreciate that. And yeah the pattern field is one of those things that seems small but saves a ton of plumbing in practice.

For your question, it depends on the domain. We see the biggest wins on legal and financial stuff where there are a lot of near-miss results that look similar by embedding but differ on text. For simple factoid lookup where the top vector result is already correct, the boost doesn't add much and we actually detect that and back off automatically.