My app hates semantic search

I'm trying to level up the internal search in my SaaS app, aiming for some truly robust semantic search capabilities for content discovery. The goal is to help users find exactly what they're looking for, not just related keywords. But it feels like my app has a personal vendetta against understanding context! Despite throwing standard NLP libraries at it, it frequently misinterprets complex user queries, delivering results that are technically correct but completely miss the actual user intent recognition. It's like it's actively trying to be unhelpful, bless its digital heart.

For example, a user might ask something very specific, and the search just throws up the most generic stuff. Check out this ridiculousness:

User Query: "low-code platforms for marketing automation with Zapier integration"
Search Engine Interpretation: "marketing automation tools"
Top Result: "HubSpot Marketing Hub Review" (facepalm)

Seriously, it's like it sees "marketing automation" and just gives up on anything else. What advanced techniques, frameworks, or tools are you guys using that are truly effective for nailing advanced query interpretation and user intent beyond basic keyword matching? I'm open to anything that can help my app stop acting like it's allergic to nuanced requests.