The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Hybrid Semantic Search Engine
Keyword search misses results that mean the same thing in different words. Pure vector search misses exact matches.
I built a hybrid search engine that combines both. Text is embedded with the all-MiniLM-L6-v2 sentence model and indexed in FAISS, and each query blends vector similarity with fuzzy text matching (weighted 70/30), so results match on meaning and on exact terms.
Built as a FastAPI backend with a React frontend, packaged with Docker so it runs with one command.
What this shows: I understand how retrieval works under the hood, the same retrieval that powers RAG chatbots, and where it fails.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Testing my app! 🧰🚀 Everything is finally coming along.
I’ve been working on this project for a little over two weeks. Initially it was just me working with one AI agent, but I was still manually coding most of it, so I was moving like a turtle 🐢very slow.
Then I decided to implement Codex into my project to automate more of the development and it has been amazing. Now I can focus more on prompting, testing, reviewing the code and making the technical decisions instead of manually coding everything.
I also created my own AGENTS.md bible with all my project rules and instructions to make sure Codex follows them as the final authority when working on my code.
The idea is simple: create one useful and intuitive ecosystem of tools that Shopify merchants can add to their stores to help customers make purchasing decisions faster and with more confidence.
Still testing, building and adding more tools. Let’s see where this goes! 🚀
And if anyone finds the idea interesting. I’m definitely open to collaborations, ideas or partnerships. Feel free to reach out!
Seeing you shift from hand coding to Codex and let the agent handle the grunt work really speeds up iteration.
Just shipped a new web project: UUID Generate 🚀
A developer-focused UUID toolkit for generating, validating, decoding, and exporting UUIDs.
Features include:
• UUID v1, v3, v4, v5 & v7
• Bulk generation
• UUID validation
• UUID decoding
• Multiple output formats
• Fast client-side generation
Built with Astro + JavaScript with a focus on performance, clean UI, and SEO.
Another project added to the portfolio.
34 tested API endpoints that AI agents can discover and pay for per request in USDC, with no accounts or API keys. It includes a paid MCP server, marketplace listings generated from real outputs, SSRF-safe fetching, and 19 Apify Actors that offer bulk versions of the endpoints.
agents paying per request in USDC with no API keys is lowkey the future