Contextual reminiscence in AI is a significant problem as a result of present fashions battle to retain and recall related data over time. Whereas people can construct long-term semantic relationships, AI methods typically depend on mounted context home windows, resulting in lack of necessary previous interactions.
Zep is a startup that’s creating a reminiscence layer for AI brokers utilizing temporal Data Graphs, enabling brokers to retain long-term contextual data. It was based in 2023 and was a part of the Y Combinator batch of Winter 2024.
Daniel Chalef is the Founding father of Zep. He joins the present with Kevin Ball to speak in regards to the problem of contextual reminiscence in AI, temporal information graphs, ambient AI brokers, and extra.
You should definitely try Graphiti on GitHub and browse the Zep White Paper on arXiv.
Full Disclosure: This episode is sponsored by Zep.
Kevin Ball or KBall, is the vp of engineering at Mento and an impartial coach for engineers and engineering leaders. He co-founded and served as CTO for 2 firms, based the San Diego JavaScript meetup, and organizes the AI inaction dialogue group by means of Latent Area.
