RAG on Snapdragon X2 Laptop, 200K documents.
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| Qualcomm recently released the new ๐๐ง๐๐ฉ๐๐ซ๐๐ ๐จ๐ง ๐2 ๐ฅ๐๐ฉ๐ญ๐จ๐ฉ ๐๐ก๐ข๐ฉ๐ฌ๐๐ญ. I immediately ordered one: ASUS Zenbook A16 16" 3K OLED Touchscreen Laptop โ Snapdragon X2 Elite Extreme (2026) A few things I really like about this machine:
The attached video demonstrates VecMLโs AI-PC software running on this laptop. ๐๐ข๐ ๐ก๐ฅ๐ข๐ ๐ก๐ญ๐ฌ: โข ๐๐๐ฌ๐ฌ๐ข๐ฏ๐ ๐๐จ๐๐ฎ๐ฆ๐๐ง๐ญ ๐๐จ๐ฅ๐ฅ๐๐๐ญ๐ข๐จ๐ง: ~200,000 files being indexed (~100,000 completed in this run) โข ๐๐จ๐ฐ-๐ญ๐จ๐ค๐๐ง ๐ซ๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ: only ~1200 retrieval tokens used in this experiment โข ๐๐จ๐ฐ-๐ฆ๐๐ฆ๐จ๐ซ๐ฒ ๐๐๐: most data offloaded to disk with only a 128-shard active buffer โข ๐ ๐๐ฌ๐ญ ๐๐ง๐ ๐๐๐๐ฎ๐ซ๐๐ญ๐ ๐๐๐ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐จ๐ง-๐๐๐ฏ๐ข๐๐ ๐๐๐ก๐ข๐ง๐ ๐ญ๐ก๐ ๐ฌ๐๐๐ง๐๐ฌ, ๐๐๐๐๐โ๐ฌ ๐๐ฅ๐ฅ-๐ข๐ง-๐จ๐ง๐ ๐๐ ๐๐๐ญ๐๐๐๐ฌ๐ ๐ฉ๐ฅ๐๐ฒ๐ฌ ๐ ๐ค๐๐ฒ ๐ซ๐จ๐ฅ๐. Enterprise-scale AI systems typically require multiple databases working together: We developed an in-house AI database platform that integrates the core functionality of all six systems into a unified architecture for enterprise AI and agent systems. This enables joint optimization across indexing, retrieval, graph traversal, storage, and memory management, helping achieve low-token, low-memory, fast, and accurate AI systems on both cloud and AI-PC deployments. The demo shown here runs on a Snapdragon X2 Windows laptop. ๐๐ฎ๐ซ ๐ฆ๐๐๐๐ ๐๐-๐๐ ๐ฌ๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐ข๐ฌ ๐ง๐จ๐ฐ ๐จ๐ฉ๐๐ง ๐๐จ๐ซ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ๐ฅ๐๐ ๐ญ๐๐ฌ๐ญ๐ข๐ง๐ . [link] [comments] |
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