SmartRAG: Native Graph-Based RAG for Mobile Device
Deploying large language models (LLMs) as personal assistants on mobile devices demands privacy, low latency, and offline availability, yet the computational cost of giant models clashes with strict edge-hardware budgets. We argue that this
https://arxiv.org/abs/2607.14661v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
llm, ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
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Correct facts used on the next screening or memo.
People
Z
Zhihan Jiang
2.0
low confidence
M
Meng Li
2.0
low confidence
S
Shenghao Liu
1.0
low confidence
K
Keran Li
2.0
low confidence
R
Ruiben Zhou
2.0
low confidence
X
Xianjun Deng
2.0
low confidence
S
Shuai Wang
2.0
low confidence
H
Haipeng Dai
2.0
low confidence
L
Liu S
1.0
low confidence