Introduction
In this article, I'll show you how to turn AI into a private knowledge base, owned 100% by your team ? For this article, I run a private AI locally on a system. And this private AI answering me on some specific questions regarding our internal knowledge base and the goal of that demo is to see together how to do that. The goal is really to own your system and to train it, feed it with your internal knowledge.
Architecture demo
Explore the architecture of our system here
Useful links:
- Github Repo
Configuration
Explore the architecture of our system here
Conclusion
To summarize, we can keep in mind that it's not too hard to have your private AI locally and you can really get a very advanced and more productivity from that setup because you really feed that system with your own knowledge because usually for very specific domain knowledge, you need something that is detailed that is maybe more specific to your company and with this setup you can really do that.
Complete part for this section here: