RAG — Retrieval Augmented Generation. we have covered so far — embeddings, vectors, vector databases — all comes together here! What is RAG? all the AI model has predefined...
2026-03-09 (first published: 2026-03-08)
14 reads
Why this comparison feels confusing If you’re a Power BI report author who’s just getting into Microsoft Fabric, you’ve probably asked the same question I hear over and over:...
2026-03-09 (first published: 2026-02-26)
280 reads
I wrote about TempDB Internals and understand that Tempdb plays very important role on SQL Server performance and everything temporary / memory spill comes to tempdb and it is...
2026-03-09 (first published: 2026-03-02)
271 reads
Continuing from Day 6 we learned Embeddings, Semantic Search and Checks, on Day 7 we would learn about Vectors and Vector Databases. this is a place where AI data...
2026-03-08 (first published: 2026-03-07)
14 reads
Continuing from Day 5 where we covered notebooks, HuggingFace and fine tuning AI now Day 6 is inside of AI , how AI understand us, as computer do not...
2026-03-07 (first published: 2026-03-06)
14 reads
In 100 years a lot of what we take to be true now will be proved to be wrong, maybe even embarrassingly wrong. A good question to ask yourself...
2026-03-06 (first published: 2026-02-20)
544 reads
As someone who’s worked with data for over 20 years and with many cloud platforms, my main focus has always been on helping teams streamline their development process. A...
2026-03-06 (first published: 2026-03-02)
525 reads