@StonerBoner85@DavidBakhtiari@Whateverdude77@atolio Yes you obviously have to solve permissions too :) That's why it's hard - you have to solve for AI with RAG, search + relevance, document-level permissions, fully on-prem, unifying across vendor silos, enterprise scale, etc.
In our latest post on the Atolio blog, @cmcollier gives his take on the renewed relevance/importance of enterprise search - especially in the context of how enterprises can start to leverage LLMs in their own environment.
https://t.co/0KLFrqq44t
Matching documents with vectors or keywords is, by now a common capability. However, @vespaengine distinguishes itself by enabling sophisticated ranking with machine learning models on a large scale.
https://t.co/scJ0l3IJEI
@GergelyOrosz We've been doing a lot of work in this space at @atolio especially when we look to understand an engineer's graph at work based on the work they collaborate on across tools (Slack, Jira, GitHub, etc.) - here's a quick example of this for our relatively small team
Episode 14: @crpesola (CIO @PlexSystems - part of @ROKAutomation) chats with us about how his diverse career informs how and why he loves to mentor people
🔊 https://t.co/yAXhFHDg2N
Episode 12: @gretac1 (CIO @StateAuto) from starting an #insurtech company and how that's helped him rethink how developers build new products inside of a 100 year old insurance company
🔊 https://t.co/JG2LS6WEbl