Matchmaking via Agentic AI 💕 | MonkDB

Discover how next-gen matchmaking and matrimony platforms are being transformed by Agentic AI powered by MonkDB — an AI-native, distributed OLAP database built for real-time intelligence and scale.

In this video, we dive into how MonkDB's Multi-Contextual Processing (MCP) engine combines timeseries, vector search, geospatial data, full-text search, and both SQL/NoSQL capabilities — all over a single pgwire-compatible SQL API — to power dynamic and deeply personalized matchmaking using autonomous AI agents.

Whether you're building the future of social platforms, dating apps, or matrimonial services, this is a must-watch deep dive into how AI-native databases are revolutionizing how human relationships are algorithmically understood.

🔥 Key Highlights:

What is Agentic AI & how it’s used in matchmaking

MonkDB overview: distributed, OLAP, AI-native

Using vector & geospatial search for compatibility scoring

Real-time decisions using MonkDB’s MCP engine

Why pgwire + SQL/NoSQL fusion matters for AI

👉 Stay ahead of the curve with AI-powered apps built on databases that think like your agents do.

💬 Comment below: Would you trust an AI agent to find your ideal match?

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