A little more context on this. I have tried quite a few of SRE agents or AI incident handling assistants in the market. LLMs can help on incident handling if the domain knowledge and context are clear. However, in most of time, they are missed. SRE agents usually are belong to a platform. Naturally the platrom companies want users to keep within them. However, the domain knowledge are anywhere inside user's company. Every team has its own domain knowledge to impact how to handle an incidents in real time. This results inaccurate response from AI.
I'm trying to solve this problem in another approach. Create a lightweight desktop app, let the user connect whatever domain knowledge they have, whether a doc inside company, or runbooks, or TSGs or even some rules within a team only. Let the user connect to their own internal systems. Then provide those context to LLM. It works pretty well.
A little more context on this. I have tried quite a few of SRE agents or AI incident handling assistants in the market. LLMs can help on incident handling if the domain knowledge and context are clear. However, in most of time, they are missed. SRE agents usually are belong to a platform. Naturally the platrom companies want users to keep within them. However, the domain knowledge are anywhere inside user's company. Every team has its own domain knowledge to impact how to handle an incidents in real time. This results inaccurate response from AI.
I'm trying to solve this problem in another approach. Create a lightweight desktop app, let the user connect whatever domain knowledge they have, whether a doc inside company, or runbooks, or TSGs or even some rules within a team only. Let the user connect to their own internal systems. Then provide those context to LLM. It works pretty well.
Here is the hands on demo to show exactly how it works: https://github.com/XTSoftwareLabs/neatcontext-demo
interesting... keep going