At the start of November, Chris Phillips, Google's vice president and general manager for education, said K-12 schools will soon have to accept the company's AI services...
Searches and calls to LLM models are calculated differently by Kagi. AI-free search is exactly what it sounds like. And considering AI is a money leech on even the most successful companies, the discount of excluding that from the price should be significant!
I’m curious if you have an example of this that produces good results. Without embeddings, how do you search for results that are related to the query but which don’t exactly contain it (or parts of it)?
For example, if you search “cats”, are you getting results for “felines” too in your “AI-free search”?
AI has been used to effectively search the web since useful web search engines were first created. There’s no other way to perform a semantic search based on the user’s input (outside of manually clustering search results, but that’s physically impossible if you’re indexing the entire internet).
Searches and calls to LLM models are calculated differently by Kagi. AI-free search is exactly what it sounds like. And considering AI is a money leech on even the most successful companies, the discount of excluding that from the price should be significant!
I’m curious if you have an example of this that produces good results. Without embeddings, how do you search for results that are related to the query but which don’t exactly contain it (or parts of it)?
For example, if you search “cats”, are you getting results for “felines” too in your “AI-free search”?
AI has been used to effectively search the web since useful web search engines were first created. There’s no other way to perform a semantic search based on the user’s input (outside of manually clustering search results, but that’s physically impossible if you’re indexing the entire internet).