Enhance Precision with BERT-Powered Semantic Search API

Enhance Precision with BERT-Powered Semantic Search APIEnhance Precision with BERT-Powered Semantic Search API

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HNS Omar

• Jun 26

Semantic search engine using BERT embeddings and vector similarity for product catalogs, deployable via scalable REST API.

Results; 40% precision improvement and 80% faster search

AI Engineer Python

Chadd Weston

max

• Jul 16

WIP: Omnisearch prototype for a client cooked in @Framer as part of a larger simulation engine Had Claude cook up some overrides to help with up/down key nav through the search results Goal here is to surface any searchable object type in the platform using a single result list item component so its extensible for future query types.

Boluwatife Delight

• Jul 17

Wow.... This design Got my goat

RIPSUDHAN MISHRA

• Jul 18

Mutational Screening of big biological data of GPCRs

Data Analysis Research Jupyter Linux Python

Behiye Bedir

• Jul 18

Great visualization! Which library or tool did you use to create this?

Ayesha Rashid Khan

• Jul 17

Things I believe after building with AI: - If you do something manually more than twice, automate it. - AI agents are the most fun thing you can build right now. - A demo that works beats a pitch deck every time. - The best engineering is invisible. You only notice when it's missing.

Hi, I'm Ayesha, a Full-stack developer in Berlin. I spend my days in TypeScript, React and Python, mostly teaching LLMs to do real work. Think agents that plan code changes and push them to GitHub on their own, RAG assistants, CRM automation that cut response times in half.

I'm new here on Contra so I put together a quick tour of my portfolio and what I build. My favorite part is the AI agent that runs a Kanban board by itself. Full breakdown coming in my next post.

Your turn. What's rule #1 in your work?