Daily Dose of DS offers a daily dose of inspiration, education, and motivation for data scientists and aspiring data professionals. Through bite-sized articles, tutorials, and curated resources, readers embark on a journey to master the art and science of data analysis, machine learning, and artificial intelligence. By staying updated with the latest trends, techniques, and tools in data science, readers can hone their skills and stay ahead in this rapidly evolving field.

Daily Dose of Data Science | Avi Chawla | Substack

A step-by-step implementation guide for building an Agentic RAG system using the Model Context Protocol (MCP). The system combines vector database search with web search fallback, using Firecrawl for web scraping, Qdrant as the vector database, and Cursor as the MCP client. The tutorial covers setting up an MCP server, creating tools for both vector DB queries and web search, and integrating everything with Cursor for intelligent query routing.

[Hands-on] MCP-powered Agentic RAG

AI agents can finally talk to your frontend (open-source)!

P.S. For those wanting to develop “Industry ML” expertise: