Talk | 
WeAreDevelopers World Congress 2025
 | 08.07.2025

Semantic AI: Why Embeddings Might Matter More Than LLMs

Large Language Models (LLMs) get all the attention, but Embedding Models might be the real unsung heroes of AI systems. Christian shows how embedding-driven semantics can guard against hallucinations, dynamically route tasks, and supercharge Retrieval-Augmented Generation (RAG) workflows. Combined with Small or Large Language Models, embeddings offer a scalable way to build AI systems that aim to be more accurate, efficient, and context-aware. If you're ready to move beyond LLM hype, discover a semantic-centric approach in a pragmatic way.

Christian Weyer
Christian Weyer is co-founder and CTO of Thinktecture. He’s been creating software for more than two decades.

Event

WeAreDevelopers World Congress 2025
09.07.25  
- 11.07.25 
@ Berlin
 (DE)

Links & additional Content

No data was found
More articles about Embeddings, Generative AI, LLMs, Patterns, SLMs

More articles about Embeddings, Generative AI, LLMs, Patterns, SLMs

No data was found

Our webinars

Our articles

More about us