Discover and read the best of Twitter Threads about #Neeva

Most recents (6)

🌐 @Neeva, once hailed as a potential challenger to #Google in the search engine space, has ceased its consumer operations and is shifting focus towards #AI.

mpost.io/neeva-ceases-c… Image
@Neeva 🔄 The decision marks a significant shift in Neeva's business model.

Launched with the intent to provide an ad-free, user-focused search engine, @Neeva was seen as a fresh breath of air in a space dominated by big tech.

@Neeva 🤔 Why the sudden shift to AI?

It seems that #Neeva has recognized the immense potential and broad applicability of #AI technologies, particularly in a world increasingly driven by automation, data analysis, and digital transformation.
Read 7 tweets
1/ At #Neeva, design is the act of giving form to an idea: we gather data and inspiration, think, make, and iterate through feedback. 💡

Here's how our team, working alongside the ✨Neeva Community✨, shaped our latest news tool, #BiasBuster...

(read on 📖)
2/ To improve the news experience on Neeva, we solicited insights from users of various news outlets.

One early finding 👉 the journey to get daily news typically started from news providers' sites and apps, but NOT from a search engine.

🤔
3/ So we asked ourselves, when does a search engine becomes necessary and helpful in the journey? 💭

Several users shared that they searched for specific events and stories about which they wanted to learn more.

An avid news user put, "Search is for focused topics.".
Read 13 tweets
1/ Have you heard? Bias Buster is now available in #Neeva's main search tab!

🔎 Try a search here: neeva.com/search?q=calif…

And if you're wondering how we crawled and evaluated topics to create our 5 point scale slider, stay tuned! 🤓

We dive into it on this thread 🧵… Image
2/ Our goal? 👉 Show a variety of POVs on particular news topics.

To reach this goal, we categorized results based on 5 buckets to ensure a smooth experience while interacting with the slider. This includes:

🪣 Far Left
🪣 Left Leaning
🪣 Center
🪣 Right Leaning
🪣 Far Right
3/ So, how do we categorize our results to fit these buckets?

By using third party media bias tools, such as @AllSidesNow and @MBFC_News.

Each result is categorized by its respective domain.
Read 11 tweets
🥁 Introducing #NeevaAI 🪄

🌟 Powerful AI
🌟 Cutting-edge LLMs
🌟 Authoritative answers in real-time (solving major drawbacks of ChatGPT)

It’s like nothing we, or anyone, have built before.

US users w/ a Neeva account can try it now or create one here: neeva.com/search?q=shoul…
While ChatGPT is a groundbreaking product, it comes with two significant drawbacks.

1️⃣ ChatGPT’s output does not include sources or references, making it impossible to determine the credibility of an answer.

2️⃣ ChatGPT does not retrieve real-time data or information.
#NeevaAI solves both of these problems. 💁‍♀️

At #Neeva, we are harnessing the power of #AI to transform search from a game of 10 blue links to an experience that combines the best of ChatGPT with the authority and timeliness of search.
Read 7 tweets
1/ We redesigned our marketing home page and got 50% more clicks, and 20% more installs.

Want to learn how we did it? 🧵⬇️ Image
2/ A picture is worth 1k words 🖼

Instead of lines of text telling people why to use #Neeva, we show them!

Our new website visualizes installing Neeva so they:
🅰️ Know what to expect
🅱️ Show them the benefits of tracker blocking 🛑 and address bar search 🔎
3/ Use your words wisely ✍️

We changed our headline to be more on brand and highlight the core value people get from Neeva.

No clever wording, just real tangible benefits.
Read 6 tweets
1/ It's not the size, it's the skill - now releasing #Neeva's Query Embedding Model!

Our query embedding model beats @openai’s Curie which is orders of magnitude bigger and 100000x more expensive. 🤯

Keep reading to find out how... 📖
2/ Query understanding is the life blood of #searchengines. Large search engines spent millions of SWE hours building various signals like synonymy, spelling, term weighting, compounds, etc.

We don’t have that luxury. 🙄

Fortunately for us, #LLMs are here to build upon.
3/ We solve the problem of #query similarity: when 2 user queries looking for the same information on the web.

Why is this useful? Query-click data for web docs = strongest signal for search, QA, etc.; solving query equivalence => smear click signal over lots of user queries
Read 10 tweets

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