yichuan

4 ms·

1. 1.▲
   PixelRAG – Retrieve and Read Web Pages as Screenshots Instead of HTML(pixelrag.ai)

   5 points by yichuan 4mo ago|0 comments
2. 2.▲
   DS-Serve: A framework for efficient, scalable neural retrieval(berkeley-large-rag.github.io)

   4 points by yichuan 10mo ago|0 comments
3. 3.▲
   First lightweight local semantic search MCP for Claude Code(github.com)

   4 points by yichuan 1y ago|1 comments
4. 4.▲
   by yichuan 1y ago

   @Berkeley SkyLab, we’re the first to bring semantic search to Claude Code with a fully local index in a novel, lightweight structure — check it out at LEANN( https://github.com/yichuan-w/LEANN ). Unlike Claude-context, w
5. 5.▲
   by yichuan 1y ago

   I think there’s huge potential for a fully local “Cursor-like” stack — no cloud, no API keys, just everything running on your machine. The setup could be: • Cursor CLI for agentic/dev stuff (example: https://x.com/curso
6. 6.▲
   by yichuan 1y ago

   That's my vision, hope it can help. I think that if we combine all our personal data and organize it effectively, we can be 10 times more efficient. Long-term AI memory, all you speak and see will secretly be loaded to your own persona
7. 7.▲
   by yichuan 1y ago

   I guess for semantic search(rather than keyword search), the index is larger than the text because we need to embed them into a huge semantic space, which make sense to me
8. 8.▲
   Leann – Claude Code–compatible semantic search with 97% smaller vector index(github.com)

   5 points by yichuan 1y ago|0 comments