Jeff Huber
Jeff Huber is a primary advocate for token compaction and vector filtering mechanics, focusing on the physical mechanics of context engineering to prevent performance degradation in large-scale context retrieval.
Last updated 13 Nov 2026 · Named in 3 answers across 2 engines
Bing AI Mode starts a separate baseline. Copilot remains a separate public engine and keeps its history; changes across the switch are not like-for-like growth.
How AI engines see them
- ChatGPTNot named
He pushed the idea that RAG is too narrow.
- GeminiNamed in 2 answers
He advocates for context engineering.
- Google AI ModeNamed in 1 answers
He popularized context engineering.
- PerplexityNot named
He is a proponent of context engineering.
- Bing AI ModeNot named
No description yet.
- CopilotNot named
He reframes RAG as context engineering.
Top Segments
- #39Vector Searchof 39Named in 11 answers
Top URLs
- 1REALM: Retrieval-Augmented Language Model Pre-Trainingarxiv.org1 citations
- 2Top Vector Databases for Enterprise AI: 2026 Comparison - Atlanatlan.com1 citations
- 3GitHub - Poll-The-People/awesome-rag: awesomegithub.com1 citations
Prompts where Jeff is named
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Who are the most influential voices in RAG & context engineering?
Named by 1 engines
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