How I built ZeidBot - a RAG chatbot using Vector DBs, LLMs, embedders and LangChain. Using tools within the AI-stack and building reasoning applications with precision and control.

Step-by-step walkthrough showing how to harness the power of AI locally. Learn to run language models on your own computer, opening up new possibilities for privacy-focused and tailored AI applications.

The most important thing when your a startup is to get your MVP validated as quickly as possible. Use off the shelf products to build the undifferentiated features of your product and focus your resources on what makes you unique

Web applications combine layers—like frontend (HTML, CSS, JS), backend (Node, Python), databases, and infrastructure—which are "stacked" to form a web application.

As a frontend engineer learning CSS properly will save you time and your sanity in the long run irrespective of which styling approach you use.