Post by pawyel365 on Feb 17, 2024 6:07:08 GMT
Google's Rival Neeva Shuts Down Its Search Engine Neeva , which has seemed to be one of the startups that have a chance to challenge the supremacy of the Google search engine for a while, announced yesterday that it will shut down the search engine. The company announced that it will pivot to the AI side in the future with the following sentences: Over the past year, we have seen the urgent need to use LLMs (Large Language Model) effectively, cheaply, safely and responsibly. Many of the techniques we pioneered with small models, size reduction, latency reduction, and low-cost version management are what businesses really want and need today. We are actively exploring how we can apply our search and LLM expertise in these environments and will provide updates on the future of our work and team over the next few weeks. The mission of giving the search engine ecosystem back to its users started with Neeva.
It is quite sad that, after working on search and search ads for more than Iran Email List a decade, the company has decided to close down, as it sincerely believes that there is room for a search model that prioritizes the interests of the user, not the advertiser, and offers a special, ad-free experience. The company has already made history as the first search engine to provide real-time AI answers, with the announcement made on its blog page . Let's take a closer look at the announcement: Building search engines is difficult. This is even harder to do with a small team of 50 people going up against companies with endless resources.
We overcame these obstacles and built a search stack from scratch, running a crawl that fetches petabytes of information from the web and using that to power a standalone search stack. In early 2022, the coming impact of generative AI and LLMs became clear to us. We have embarked on an ambitious effort to seamlessly blend LLMs into our search stack. We gathered the Neeva team around the vision of building a response engine. We're proud to be the first search engine to provide quoted, real-time AI answers to most queries earlier this year. But throughout this journey, we discovered that building a search engine is “one thing” and convincing users of the need to switch to a better option is a completely different thing. From the unnecessary friction required to change default search settings to the challenges of helping people understand the difference between a search engine and a browser, user acquisition has been a real challenge.
It is quite sad that, after working on search and search ads for more than Iran Email List a decade, the company has decided to close down, as it sincerely believes that there is room for a search model that prioritizes the interests of the user, not the advertiser, and offers a special, ad-free experience. The company has already made history as the first search engine to provide real-time AI answers, with the announcement made on its blog page . Let's take a closer look at the announcement: Building search engines is difficult. This is even harder to do with a small team of 50 people going up against companies with endless resources.
We overcame these obstacles and built a search stack from scratch, running a crawl that fetches petabytes of information from the web and using that to power a standalone search stack. In early 2022, the coming impact of generative AI and LLMs became clear to us. We have embarked on an ambitious effort to seamlessly blend LLMs into our search stack. We gathered the Neeva team around the vision of building a response engine. We're proud to be the first search engine to provide quoted, real-time AI answers to most queries earlier this year. But throughout this journey, we discovered that building a search engine is “one thing” and convincing users of the need to switch to a better option is a completely different thing. From the unnecessary friction required to change default search settings to the challenges of helping people understand the difference between a search engine and a browser, user acquisition has been a real challenge.