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  • Hacker News
  • I know everyone loves to hate on google but i find search overviews and asking gemini to search for things way faster than any alternative. I was curious about a development near me and asked literally that and gemini pulled court records in about 20 seconds

    Anyway, back to this - it seems to be more like the AI equivalent of algolia than google

    by amazingamazing
  • Dunno about this branding/naming scheme - every time it comes up we have to double-check that it isn't some spoof/joke page
    by ChrisArchitect
  • I guess someone who has used a search agent (or a dedicated subagent) can speak when I'd reach for a tool like this vs either just 1) a smaller general model or 2) a non-llm approach to the problem? Like it's interesting I'm just curious how a search agent compares to say a model with dedicated rag pipelines is that much different?
    by tolugenius
  • Article should probably explain what "Mixedbread Search" is.
    by andai
  • I really wanted this to be a hardware startup - the Juicero of toast.

    Sadly its another software company.

    by blitzar
  • Looks good as I use something similar with the SearXNG MCP, but a shame this isn't an open weight model. There are some wrappers around SearXNG which seem to reduce the token counts returned thus making it easier for the calling model to understand, but a full dedicated model for search is nice. How does it compare with Perplexity, Gemini with search, and Parallel AI? Those are the cloud providers of search based models that I've seen so far.
    by satvikpendem
  • > performs best with Mixedbread Search, but it can work with any search backend

    Bread-first search, is it?

    by moffkalast
  • I deeply love this idea of specialized LLMs for search. It's also extremely confusing to me how rough Google's entrance here is.

    When I, a human, need an answer to anything moderately complex, it's unlikely that I get it on the first (pre-AI) round of google searching. Simple stuff, sure, but more likely I'll need to go 2-5 rounds. Maybe click a few links. Double-check my assumptions.

    An LLM that can do that quickly seems like a slam dunk. I wonder what other problems benefit from that 10x-100x increase in context + 2-5 rounds with the LLM.

    by trjordan

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