DeepMind's paper reveals Google's new direction on RAG: In-Context Retreival (arxiv.org) 6 points by mingtianzhang 9mo ago ↗ HN
[–] mingtianzhang 9mo ago ↗ Instead of relying on vector databases, DeepMind proposes:1. The LLM itself selects the most relevant documents — no vector database needed.2. The selected documents are then placed directly into the context for generation.This kind of in-context retrieval approach greatly improves retrieval accuracy compared to traditional vector-based retrieval methods.
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[ 31.8 ms ] story [ 329 ms ] thread1. The LLM itself selects the most relevant documents — no vector database needed.
2. The selected documents are then placed directly into the context for generation.
This kind of in-context retrieval approach greatly improves retrieval accuracy compared to traditional vector-based retrieval methods.