When we interact with friends, we collect countless memories—birthdays, favorite songs, and shared laughs. In return, we build deep connections that last a lifetime. But what if you could do more with these memories? What if you could use them to build an interactive digital sanctuary? That’s where Nexia comes in. Our goal is to modernize the way we cherish friendships so that, instead of letting details fade, users can preserve them in highly detailed digital profiles. But what can you do with these profiles? With Nexia, you can use your curated memories to drive context-aware conversations. For example, you can instantly recall a friend's food restrictions for a dinner party, identify shared interests across your circle, or rediscover an inspiring quote from a mentor exactly when you need it. But how does it work? We’ve built a sophisticated Retrieval-Augmented Generation (RAG) pipeline to ensure every interaction is meaningful. To maintain efficiency, our system uses Asynq-powered background workers to generate semantic embeddings for every profile detail, ensuring timely data indexing. Transparency and trust are crucial. That’s why, when you chat with our AI, it retrieves specific context from a Qdrant vector engine as proof of relevance. This context is then used to ground the AI's response, assuring you that every interaction is based on your real, lived experiences. Tech Stack: • Backend: Go, MySQL • Frontend: Next.js, Tailwind CSS • AI & Vector: Gemini, Qdrant, Redis Nexia – Turning memories into intelligent connections.