ryadh

An agentic analytics exploration of some tech hype cycles using HackerNews, GitHub, and Stack Overflow data

(Ryadh from ClickHouse here) Your comment is spot-on. This the main challenge with Agentic Analytics and there are known limitations. It is also where we are orienting our investments atm.

Our own experience running internal agents taught us that the best remediation comes from providing the LLMs with the maximum and most accurate context possible. Robust evaluations are also critical to measure accuracy, detect regressions, and improve. But there is no silver bullet.

SOTA LLMs are increasingly better at generating SQL and notoriously bad with math and numbers in general. Combining them with powerful querying capabilities bridges that gap and makes the overall experience an useful one.

IMO, we'll always have to deal with the stochastic nature of these models and hallucinations, which calls for caution and requires raising awareness within the user base. What I found watching our users internally is that, while it's not magical, it allows users to request data more often, and compounds in data-driven decision-making, assuming the users are trained to interpret the interactions

Interestingly, LibreChat has a broad range of applications already and we'll continue to support them. The investment area we want to tackle in priority is around the analytics use-case specifically.In that space, I don't see an SSO-tax scheme unfolding tbh, it's really about better visualizations, semantic layers and anything that can improve the quality of the insights produced on top of analytics data

Ryadh from ClickHouse here, I commented below about the overall intent. Let me know if anything needs clarifying!

The LibreChat folks are now my colleagues, and it's exciting

(Ryadh from ClickHouse here)

It's a fair concern, and I understand where you are coming from. What I can say is that it's not our first rodeo incorporating another OSS product in our family. I tried to summarize it in the post:

> "This proven playbook is the same one that we applied when joining forces with PeerDB to provide our ClickPipes CDC capabilities, and HyperDX, which became the UX of our observability product, ClickStack."

If you research both instances above, the result is that these projects got more traction and adoption overall.

I hope this helps! and thank you for using LibreChat