Based on this YouTube video's total view count of 9.92K views and industry-standard rates, the estimated total earning is $7 - $20 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Build Vector Search in .NET with Postgres and pgvector with 9,927 views, 405 likes, and 37 comments. Experience the impact of this video content that has captured audience attention.

Get the source code for this video here → https://the-dotnet-weekly.kit.com/pgvector Want to master Clean Architecture? Go here: https://dub.sh/clean-architecture Want to master Modular Monoliths? Go here: https://dub.sh/modular-monolith Join the .NET Architects Club: https://www.skool.com/mj-tech-community-5418/about Get the 2026 .NET Developer roadmap here → https://the-dotnet-weekly.ck.page/2026-roadmap Postgres is more powerful than most developers realize. In this video, I’ll show you how to build semantic search in a .NET application using Postgres and the pgvector extension. We’ll use Postgres to store vector embeddings, Ollama to generate embeddings locally, and .NET Aspire to orchestrate everything. Then we’ll build a small API that can search through blog articles by meaning, not just keywords. You’ll learn how to: - Run Postgres with the pgvector extension - Generate embeddings from .NET using Ollama - Store vector embeddings in Postgres - Configure pgvector with Dapper - Create a vector index with HNSW - Implement semantic search using cosine similarity - Query your data based on meaning instead of exact text matches The best part is that you don’t need a dedicated vector database to get started. If you already use Postgres, pgvector gives you a practical way to add AI-powered search, recommendations, and RAG-style features to your applications. Source code is available in the pinned comment. Check out my courses: https://www.milanjovanovic.tech/courses Read my Blog here: https://www.milanjovanovic.tech/blog Join my weekly .NET newsletter: https://www.milanjovanovic.tech Chapters

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.