
The evolution and promise of RAG architecture with Tengyu Ma from Voyage AI
No Priors: Artificial Intelligence | Technology | Startups
Debate on RAG Architecture and Alternative Views
The debate revolves around the necessity of a RAG architecture for working on proprietary data. Alternative views include an agent chaining architecture and feeding data into LLMs with long contexts, eliminating the need for vectorization. There was a past debate on RAG versus fine-tuning, indicating RAG as easier. Long context transformer, though not currently practical due to high costs, is seen as a future option. The practical approach currently favors RAG due to cost-effectiveness.
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