by banditelol
3 subcomments
- Sounds cool, I want to try this kind of things out, but do you have or planned to have a sandboxing environment, where the agent can try running the query in let say duckdb first to confirm its validity/result before sending it over to bq? Or use something like tablesample when developing the query to reduce cost?
One more thing, how do you compare with nao ( https://github.com/getnao/nao ), it's something I've followed for a while and seem to answer similar issue as what ktx build
by lifeisstillgood
1 subcomments
- So, and I may be oversimplifying, you are creating awesome documents and references that I would have loved to have for my different jobs 5-10 years ago (or more).
It’s just that making such docs had next to no ROI 10 years ago. But today they are the difference between success and failure.
It’s fascinating - thank you
(and who writes the wiki / business rules ? Can they be reverse engineered from existing query stack? )
Sounds great - all the best
Edit: don’t take the above as criticism - just trying to fit new ideas into an old dog.
by anentropic
2 subcomments
- This sounds like it might be exactly what I need!
Does `ktx setup` need Claude specifically?
> LLM - picks a Claude backend. The default uses your local Claude Code session, so no API key is required. You can also use an Anthropic API key or Vertex AI.
I'm currently on Copilot at work
by tarun_anand
2 subcomments
- How does this compare with Wren 2.0, OpenVikings etc
by modus-tollens
6 subcomments
- How are you measuring the accuracy? Are you running this against any benchmarks?
I see this covers a file based approach, was there ever a consideration for a graph based approach?
For business context, how do you handle context that evolves over time?
- cool
- [flagged]
- [flagged]
by yashjadhav2102
0 subcomment
- [flagged]
by germansaprykin
0 subcomment
- [dead]
by MadGodInc
1 subcomments
- Interesting approach. Context management for agents is an underexplored area. I've been looking at similar problems - the key challenge is keeping token usage low while giving the agent enough context to be useful. Tiered retrieval (facts first, full text only whenneeded) seems to work well in practice.
by qasimkhan07
0 subcomment
- [dead]
Hacker News