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Choosing a vector database for a new AI SaaS? 🤔
There are several solid options, and the right choice really depends on the project requirements, existing stack, scalability, and budget.
If you had to choose one today:
Pinecone, PostgreSQL + pgvector, or MongoDB Atlas Vector Search?
I have my preference, but I’d love to hear what other developers and AI engineers would choose and why.
What’s your pick? 👇
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
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The challenge is showing where the bottleneck actually is, and why your product is the solution.
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the bottleneck framing is the whole thing tbh
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Title: AI Resume Analyzer | MERN & AWS Smart Resume Evaluation Platform
Technologies Used: React.js, Node.js, Express.js, MongoDB, AWS S3, REST API, JWT Authentication, Responsive Web Design, AI Integration
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Designed and developed AI Resume Analyzer, a full-stack MERN and AWS-powered web application created to help users improve ATS compatibility, resume quality, and job readiness through intelligent AI-driven analysis. The platform supports secure resume uploads, user authentication, real-time resume evaluation, structured skill extraction, keyword analysis, and responsive dashboard interfaces for a seamless user experience across desktop and mobile devices. Built using React.js, Node.js, Express.js, MongoDB, AWS S3, and REST APIs, the project demonstrates expertise in full-stack development, AI integration, cloud deployment, authentication systems, scalable application architecture, and building production-ready web solutions with modern UI/UX principles.
