RAG
Notes on Retrieval Augmented Generation (RAG)
| Title | Description |
|---|---|
| Stop Saying RAG Is Dead | Why the future of RAG lies in better retrieval, not bigger context windows. |
| P1: I don’t use RAG, I just retrieve documents | Ben Clavié’s introduction to advanced retrieval techniques |
| P2: Modern IR Evals For RAG | Nandan Thakur on why traditional IR evals are insufficient for RAG and how new benchmarks like… |
| P3: Optimizing Retrieval with Reasoning Models | Orion Weller from Johns Hopkins University on making retrieval systems understand complex… |
| P4: Late Interaction Models For RAG | Antoine Chaffin from LightOn on late interaction models for RAG, featuring ModernBERT and PyLate. |
| P5: RAG with Multiple Representations | Building flexible retrieval systems with multiple representations. |
| P6: Context Rot | Kelly Hong from Chroma explains ‘Context Rot,’ a phenomenon where LLM performance degrades with… |
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