Frustratingly Easy Agentic RAG via Portable Skills: A Case Study in Customer Support
cs.AI
Submitted: 2026-10-10
Updated: 2026-10-10
Comments: Accepted to EMNLP 2026 Industry Track. 15 pages, 1 figure, 5 tables
Code: https://github.com/karpathy/442a6b
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- Retrieval-Augmented Generation for Large Language Models: A Survey
- Document Expansion by Query Prediction
- Large Language Models are Inconsistent and Biased Evaluators
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