Interesting, but I'm not totally convinced that searching for LLMs is different than for us (humans). In the end, we both want to get information that's relevant to our query (intent). Besides, I wonder whether there will be able to convince big players like OpenAI to use them, instead of Google Search with its proven record :)

The fact that GPT-4.1 was the judge does not convince of the validity of the bench.

Congrats on the launch!

The latency of 5s for the basic tier search request is very confusing to me. Is that 5s per request or 5s per 1k requests? If it is indeed 5s per request that seems like a deal breaker

the need for more web search indices is indeed dire given landscape with agents and providers turning into walled gardens means that independent ones are definitely going to be needed, but just seems insurmountable when building actual index is so costly. Maybe just purely pareto efficient of serving 80% of requests or something is good enough.

Human | AI toggle is cool.

Obligatory: information-dense format is valuable for humans too! But the entire Internet is propped up by ads so seems we can't have nice things.

I've been saying for quite some time now that AI is going to kill the traditional (free) search engine. This is just another nail in the coffin.

When an AI searches google.com for you, the ads never get shown to the user. Search engines like kagi.com are the future. You'll give the AI your Kagi API key and that'll be it. You won't even need cloud-based AI for that kind of thing! Tiny, local models trained for performing searches on behalf of the user will do it instead.

Soon your OS will regularly pull down AI model updates just like it pulls down software updates today. Every-day users will have dozens of models that are specialized for all sorts of tasks—like searching the Internet. They won't even know what they're for or what they do. Just like your average Linux user doesn't know what the `polkit` or `avahi-daemon` services do.

My hope: This will (eventually) put pressure on hardware manufacturers to include more VRAM in regular PCs/consumer GPUs.

Same pricing as Google search APIs, for what it's worth

Search accuracy, when used in the context of an agent, is so important because when you are delivered search results which are incorrect, the agent tends to interpret them as fact because they come from a "credible" source. So, this is very much an industry that still has plenty of room for improvement, and I'm excited to see how this product performs.

Interesting to see new players like Exa and Parallel building their own search indexes for LLMs without providing an actual search engine. Is the demand for search results overall growing? Or why wouldn't people just use the Gemini or Perplexity APIs, which already maintain their own indexes for search?