
Building Enterprise Knowledge Bases with LLMs in Public: Lessons from 15+ Projects
Hey everyone, Build in Public check-in! π
I'm Will Wei. After 8+ years grinding in FinTech, I'm now leading a small team, full-time, diving headfirst into the "adventure" (some might say "pit" π) of enterprise LLM applications. Why? Because we saw so many businesses excited by LLMs but completely stumped on how to actually implement them. It's a real pain point!
Right now, our main focus is helping companies build out their enterprise knowledge bases β basically waking up all that dormant data and documentation with AI so it can actually be useful. Somehow, we've already worked on or consulted for 15+ of these knowledge base projects (some implementation, some consulting, all of them a good challenge for the hairline π ).
Honestly, this journey is steeper than I imagined. Every client's needs are like opening a mystery box β challenging, but incredibly rewarding when we see AI genuinely solve their problems. That "aha!" moment is just chef's kiss.
So, I'd love to hear from you all:
π What are the biggest hurdles your company faces when using (or trying to use) LLMs?
π What are your expectations or wildest dreams for an AI-powered enterprise knowledge base?
Seriously, throw your thoughts, critiques, or even just random ideas in the comments. Let's explore together and make LLMs more than just "cool tech"!
#BuildInPublic #LLM #EnterpriseAI #StartupJourney #RealTalk
Replies
This is relatable! I tried using ChatGPT for inner questions but it doesnβt know where anything lives. A real enterprise knowledge base would solve so many problems.