Navigating in Latent Space and Retrieval-Augmented Generation
Haase, Robert;
Navigating in Latent Space and Retrieval-Augmented Generation
In this session of the ScaDS.AI Summer School 2026 on Neuro+Symbolic AI, we dive into vector embeddings using language models and vision transformers. We will use interactive tools for spatial exploration and we see how to use these embeddings to enrich prompts with context. Accompanied practical exercises can be found online: https://scads.github.io/rag-2026
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average