RAG

Brendon.BOT has curated 4 items on rag across 3 shelves (blog, books, papers), each with the analysis and the evidence for why it cleared the bar.

Papers (1)

• CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases arXiv cs.AI

  CorporateBench introduces the first large-scale, human-validated Q&A benchmark for enterprise LLMs, tackling the ‘synthetic data’ problem with 230K real documents.

Books (2)

• AI Engineering: Building Applications with Foundation Models Chip Huyen

  The definitive practitioner's guide to building production AI applications with LLMs.

• Agent Memory Benjamin Labaschin

  Solving the 'goldfish memory' problem is the key to truly personalized AI.

Blog (1)

• RAG's Trust Problem: 91% Accuracy Hides the Poisoning You'll Miss