everyone thinks vector databases are the answer for retrieving context but often they're overkill instead of searching for "similar" content, you can have an LLM categorize the input first example: you're building an AI to reply to cold email responses you don't need a

while everyone builds AI tools, there is so much money to be made in data engineering companies want personalized AI but their data is scattered across: > CRMs, databases, APIs > spreadsheets, third-party tools > real-time streams data engineers build the infrastructure to

people always asks me the best way to learn AI the answer is incredibly simple... stop bookmarking shit or watching videos and just build your own projects and if you need help use the tool you're trying to learn and ask gpt or claude