AI Builders Global Conference 2026. October 14-16, 2026. Online.
Production-Grade RAG: Retrieval Architectures That Scale
This description belongs to the 2026 topic catalog. The 2027 program is being prepared separately.
Agentic RAG is the 2026 standard. Move beyond tutorial-level RAG into production architectures that plan retrieval journeys across knowledge graphs and vector databases, cross-check sources for accuracy, handle enterprise-scale data volumes, and optimize for cost and latency. This hands-on workshop includes evaluation frameworks, chunking strategies, hybrid search, re-ranking, and the patterns that separate prototype RAG from production RAG.
Questions explored in the 2026 topic catalog
- What does a production-grade RAG architecture look like in 2026?
- How do you combine knowledge graphs with vector databases?
- What evaluation frameworks measure RAG quality and accuracy?
- How do you optimize RAG for cost at enterprise scale?
- What chunking and embedding strategies produce the best results?
- How does Agentic RAG differ from traditional RAG pipelines?
Who this topic is for
Backend engineers, AI/ML engineers, data engineers, and technical leads building or maintaining RAG-based AI applications.
Related topics