In this podcast episode, hear about my hands-on experience (code repository on Github) understanding the importance of using the same embedding models for both creating and searching vector embeddings in databases and how mismatched models can lead to poor search results.

I also pull highlights from an article with advice for those interested in blogging, and how it particularly relates to my own approach to tech blogging.