search
![Brian Piercy](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="%230A66C2"><path d="M20.447 20.452H16.89v-5.569c0-1.328-.027-3.037-1.852-3.037-1.853 0-2.136 1.445-2.136 2.939v5.667H9.351V9h3.414v1.561h.046c.477-.9 1.637-1.85 3.37-1.85 3.601 0 4.267 2.37 4.267 5.455v6.286zM5.337 7.433a1.982 1.982 0 1 1 0-3.964 1.982 1.982 0 0 1 0 3.964zm1.782 13.019H3.555V9h3.564v11.452zM22.225 0H1.771C.792 0 0 .774 0 1.729v20.542C0 23.227.792 24 1.771 24h20.451C23.2 24 24 23.227 24 22.271V1.729C24 .774 23.2 0 22.222 0h.003z"/></svg>)
The shift away from Google search signals a broader recalibration: marketers are chasing commerce media that can prove it converts.
When you type a query into a search engine, something has to decide which documents are actually relevant — and how to rank them. BM25 (Best Matching 25), the algorithm powering search engines like Elasticsearch and Lucene, has been the dominant answer to that question for decades. It scores documents by looking at three things: […]
40 Google features to find exactly what you need, the alternative search engines that do things Google won't, and the reference desk framework underneath all of it.
The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s how it works.
ANN — Approximate Nearest Neighbors — is at the core of fast vector search, itself central to GenAI, especially GPT and LLM. My new methodology, abbreviated as PANN, has many other app…
The rise of "zero-click" searches may signal the coming effect of AI shopping on product discovery and decision-making.
We have hundreds of easter-egg logos (featuring our friendly mascot Dax Brown) that surface when you make certain queries on our search engine. Our subreddit is trying to catch ‘em all. They’ve certainly caught a lot, currently 504, but we keep adding more so it’s a moving target. The total as of this post is 594. I’m the one personally adding them in my spare time just for fun and I recently did a
Government organizations love to distribute documents as PDF files. They are easy to forward and to print. The problem is when you want to find and access them later among millions of other files. …
The reasons for deindexing a page haven't much changed over the years, although the tools and tactics have evolved.
Enough is enough: I’ve jettisoned Google in favor of a search engine that doesn’t treat me like a product.
Google DeepMind has announced a new artificial intelligence system, AlphaEarth Foundations, designed to analyze the Earth's surface by integrating vast
The Pew Research Center analysis shows how hard AI is hitting web traffic.
🔍 Search anyone's digital footprint across 300+ websites - ibnaleem/gosearch
Your complete playbook for transforming how you research with AI's most powerful search engine
From BM25 to RAG: Everything I learned about vector databases, embedding models, and vector search - and everything in between.
Forget AI. Google just created a version of its search engine free of the extra junk it has added over the past decade-plus. You just need one URL parameter.
Despite rapid growth, AI chatbots are yet to make a dent to search engines says fresh data. Take a look here for more!
Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
Better search results with no ads. Welcome to Kagi (pronounced kah-gee), a paid search engine that gives power back to the user.
Branded search is more than just your company name on Google. Here's how to capture intent and rank for the queries that matter.
The free resource helps you see the name associated with any number in seconds flat.
A detailed analysis of ChatGPT search and Google's performance across 62 queries, with scoring metrics and practical examples.
Visualisations and metrics from the Common Crawl Web Graph dataset
BM25 is a widely used algorithm for full text search. I wanted to understand how it works, so here is my attempt at understanding by re-explaining.
You can use images to do Google Searches too.
Perplexity is an up-and-coming AI company that has broad ambition to compete with Google in the search market by providing answers to user queries with AI as its core technology. They’ve been…
How phrase search works in search array by intersecting roaring-like numpy arrays.
All that lexical search context you need to build that RAG app
In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three key challenges: relevance assessment, document ranking, and efficiency. The recently introduced Python library that implements the BM25 algorithm, BM25S addresses the challenge of efficient and effective information retrieval, particularly the need for ranking documents in response to user queries. The goal is to enhance the speed and memory efficiency of the BM25 algorithm, a standard method for ranking documents by their relevance to a query. Current methods for implementing
Frustrated by their Google searches, people are funneling their queries to a site that isn’t a search engine at all.
A collection of 2,311 blogs about every topic
The crawl archive for May 2024 is now available. The data was crawled between May 18th and May 31st, and contains 2.7 billion web pages (or 377 TiB of uncompressed content). This is our 100th crawl!
A Google document has leaked online that aims to include thousands of APIs aiming to rank better on Google Search for ranking.
Learn what you always wish you knew about Google's algorithms.
Performance testing shows integrating Tantivy’s full-text search engine library into vector search significantly improves speed and performance.
The search engine war is heating up. ChatGPT may introduce its search engine, which will rival Google, on Monday. Although
For Perplexity, the partnership with SoundHound marks the addition of another strong distribution channel expanding the reach of its LLM-driven search capabilities.
Perplexity's AI-powered search experience challenges Google's model by delivering conversational answers, citing sources and more.
The Google Search URL parameters are important to understand whether you are maximizing the...
A deep-dive into how far fewer companies than you think have taken a hold of Google's search results.
Perplexity is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question.
In part six of our series, we'll use Litesearch, the last piece of the puzzle in LiteStack.
Identify and target personas of keywords, competitors, Reddit discussions, and more.
Here are ways to remove webpages and online posts harmful to your brand – from privacy claims and copyright notices to legal measures.
Reddit posts reveal brand awareness, sentiment, and more. Increasingly they appear in Google search results.
Learn how indexing, algorithms, deep learning systems, human raters, click and query data, and more shape Google's Search results.
Adam Silver – interaction designer - London, UK
In the first two parts of this series we have discussed two fundamental algorithms in information retrieval: inverted file index and…
Hierarchical Navigable Small World (HNSW) is a state-of-the-art algorithm used for an approximate search of nearest neighbours. Under the…
Hierarchical Navigable Small World graphs (HNSW) is an algorithm that allows for efficient nearest neighbor search, and the Sentence…
Similarity search is a popular problem where given a query Q we need to find the most similar documents to it among all the documents D.
Learn a powerful technique to effectively compress large data
Explore how similarity information can be incorporated into hash function
Understand how to hash data and reflect its similarity by constructing random hyperplanes
Dive into combinations of LSH functions to guarantee a more reliable search
Thanks to gems, it is easy to implement a search engine into Rails applications. Of course, you have to choose which gem to use. While there are countless options, four stand out as the best. You will be happy with any of these options.
Learn what vector search is and the metrics pertinent to decide the distance (or similarity) between objects.
Learn about designing advanced search features. Explore key elements of search UI and build a user-friendly search input.
The Similarity Engine's use cases include item-to-item similarity for text and image modality and user-to-item personalized recommendations based on a user’s historical behavior data.
Try those 9 techniques and improve discoverability in your product. Make your users happy and create a smooth ux for them.
General Partner Connie Chan on how leading brands are using AI and other technology to combine the serendipitous discovery of offline shopping with the infinite options of online shopping. Today, most of the Western world revolves around search-based online commerce. This means that most shoppers type directly what they want into a store search bar,...
SEOs have already started analyzing Yandex's search ranking factors, which include PageRank and several other link-related factors
Learn how to use syntax on DuckDuckGo Private Search to get the search results you want.
Open-source vector database built for GenAI applications. Install with pip, perform high-speed searches, and scale to tens of billions of vectors.
Whitepages | Find accurate phone numbers, addresses and emails from the most trusted U.S. white pages phone directory and address lookup since 1997.
Over the past three years Pinterest has experimented with several visual search and recommendation services, including Related Pins (2014), Similar Looks (2015), Flashlight (2016) and Lens (2017)....
Pure python implementation of product quantization for nearest neighbor search - matsui528/nanopq
How to compress and fit a humongous set of vectors in memory for similarity search with asymmetric distance computation (ADC)
The best indexing approach for billion-sized vector datasets
Find out how the inverted file index (IVF) is implemented alongside product quantization (PQ) for a fast and efficient approximate nearest…
Efficient vector quantization for machine learning optimizations (eps. vector quantized variational autoencoders), better than straight…
Gain powerful insights to inform your marketing efforts. Use the following advanced Google search operators and commands to your advantage.
Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more.
This all-new update to our popular resource includes tools to evaluate page speed, security, accessibility, regulatory compliance, code, and more.
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TikTok won’t kill Google yet, but it’s a new and fun way to think about search.
Need to find a restaurant or figure out how to do something? Young people are turning to TikTok to search for answers. Google has noticed.
530 votes, 63 comments. My co-founder and I, a senior Amazon research scientist and AWS SDE respectively, launched Marqo a little over a week ago - a…
Two scientists inadvertently open the Pandora’s Box of WMDs. What now?
The less command is excellent for reading large text files. It also allows you to search for text in it. Here's what you need to know about searching in less.
A detailed primer on Roaring bitmaps explaining what they are, how they're different from traditional bitmaps, and how they work internally.
Build a personalised search engine with Google's search API. Just a heads up that this is not...
Your #1 resource for digital marketing tips, trends, and strategy to help you build a successful online business.
Trademarkia provides a free, fast, user friendly search of USPTO registered trademarks. Also, with trademark registration you can protect your brand in 180+ countries. Fast and easy. Starts at $99.
They're super powerful.
Nearly half of shoppers turn to Google before deciding what to buy and where to buy it. Understanding how Google and other search engines work can help you choose which optimization strategies to apply. This post is the second installment in my "SEO How-to" series.
I watched online as a college classmate went from disgrace to redemption in months. That’s when I found myself deep in the world of black-ops reputation management.
If you're finding performance bottlenecks with full-text search in your database, it may be time to switch to Elasticsearch. In this tutorial, Ianis introduces Elasticsearch and shows us how to implement an efficient ...
Without driving yourself crazy
Way back in November of 2003, when I was a much younger man and the world had yet to fall head over heels in love with Google, I wrote a post called The Database of Intentions. It was an attempt to…
Gen Z would rather be anonymous online.
Educational material to learn about Goggles and how to create your own.
Brave Search, the browser developer's privacy-centric Internet search engine, is celebrating its first anniversary after surpassing 2.5 billion queries and seeing almost 5,000% growth in a year.
PimEyes is a paid service that finds photos of a person from across the internet, including some the person may not want exposed. “We’re just a tool provider,” its owner said.
Evaluating similarity of visual art from both human perceptual & quantitative judgments
The way to improve search is not to mimic Google, but instead to build boutique search engines that index, curate, and organize things in new ways.
Reddit announced it's rolling out the ability to search comments, alongside a few other search-related features.
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I analyzed thousands of searches by people who were diagnosed with cancer. Their queries offer valuable lessons that could improve the way doctors treat patients.
It’s one thing to say “let’s have search” and draw a box with a magnifying glass on the right. It’s a whole other task to implement good search.
This article shows how to optimize a Full Text Search implementation with Rails and PostgreSQL, taking a single query from 130ms to 7ms.
The Forestry.io team is now focused on building TinaCMS. If you wish to migrate your Forestry site to Tina, follow the guide below.
Reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real time.
Making a static HTML website have dynamic search
Do websites created with reactive frameworks get indexed by Google and other search engines? Is it compulsory to set up pre-rendering, as your SEO consultants suggest? Or are they wrong? In this article, Paolo Mioni will talk mostly about Vue.js, since it is the framework he’s used most, and with which he has direct experiences in terms of indexing by the search engines on major projects, but most of what will be covered is valid for other frameworks, too.
Be a strategic thinker by recognizing opportunities at scale with seemingly small and insignificant data.
Curated SEO Tools: Best SEO Tools for Marketers
We build and maintain an open repository of web crawl data that can be accessed and analyzed by anyone.
The social media site is the bane of non-users’ lives, hijacking image search results with a pushy sign-up screen. It needs to stop.
Implementing search in your Rails app can be vexing. Here's a great pattern to use that combines the best parts of ActiveRecord and Postgres.
A concise overview of Elasticsearch concepts and principles
What would a totally new search engine architecture look like? Who better than Julien Lemoine, Co-founder & CTO of Algolia, to describe what the future of search will look like. This is the first article in a series. Search engines, and more generally, information retrieval systems, play a central role in
This is part 3 of a series on bot programming originally published on the Coder One blog. Part 1:...
Think building a booking system is not your cup of tea? I bet, you will change your mind after...
We are excited to announce that this year’s NeurIPS 2021 Conference will host a first-of-its-kind competition in large scale approximate…
From the release of the page experience algorithm, there is no longer any preferential treatment for AMP in Google’s search results, Top Stories carousel and the Google News.
A cloud-native vector database, storage for next generation AI applications - milvus-io/milvus
Let's be clear about something right at the start: If you're not optimizing your site search to convert more visitors into buyers, you're missing out on
Googling is one of the most important skills for every developer. Let me show you how to get better at Googling.
Elasticsearch is your ticket to a better website search. Learn how fast, relevant search improves customer experience and website performance.
A Gentle Guide to how Beam Search enhances predictions, in Plain English
The three-step framework Shopify's Data Science & Engineering team built for evaluating new search algorithms.
Full-text search is everywhere. From finding a book on Scribd, a movie on Netflix, toilet paper on Amazon, or anything else on the web through Google (like [how to do your job as a software engineer](https://localghost.dev/2019/09/everything-i-googled-in-a-week-as-a-professional-software-engineer/)), you've searched vast amounts of unstructured data multiple times today. What's even more amazing, is that you've even though you searched millions (or [billions](https://www.worldwidewebsize.com/)) of records, you got a response in milliseconds. In this post, we are going to build a basic full-text search engine that can search across millions of documents and rank them according to their relevance to the query in milliseconds, in less than 150 lines of code!
Neeva is currently in beta with several thousand users.
Speech and natural language processing (NLP) have become the foundation for most of the AI development in the enterprise today, as textual data represents a significant portion of unstructured content.
We created Algolia to answer the shortcomings of database full text search. It's a SaaS API dedicated to solving app and web developers' struggles.
tl;dr: Use advanced Google Search to find any webpage, emails, info, or secrets cost: $0 time: 2 minutes Software engineers have long joked about how much of their job is simply Googling things Now you can do the same, but for free Below, I'll cover dorking, the use of …
Instantly search 740 million+ United States court cases.
Introduction A simple search form is great, but one with advanced search options can have...
In Part 1 of this series, we introduced the concept of embedding vectors. In Part 2, we discussed how embedding vectors can be used in…
DuckDuckGo, the privacy-focused search engine, announced that August 2020 ended in over 2 billion total searches via its search platform.
A brief introduction to Elasticsearch
Finding Similar Subsequences for Known Patterns
Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.
Reverse image search is one of the most well-known and easiest digital investigative techniques, with two-click functionality of choosing “Search Google for image” in many web browsers. This method has also seen widespread use in popular culture, perhaps most notably in the MTV show Catfish, which exposes people in online relationships who use stolen photographs […]
A look back at some of the year's key voice search and virtual assistant metrics.
2.1K votes, 110 comments. 1.3M subscribers in the Python community. The official Python community for Reddit! Stay up to date with the latest news…
Effortlessly test Elasticsearch queries using this test environment, including test data and terrific GUIs.
Hacker News Search, millions articles and comments at your fingertips.
A whirlwind tour of the big ideas powering our web search
Learn how to create and delete indexes, how to load data in them and perform basic queries.
Google, Microsoft, et al continue to perfect their search engines – but too often search is not enough. The watchword
Discover a basic model for adding Programmable Search Engine elements to your web page.
The tech giant doesn’t have to be dismantled. Sharing its crown jewel might reshape the internet.
Mixnode allows you to execute SQL against the web.
Dive into cutting-edge tech, reviews and the latest trends with the expert team at Gizmodo. Your ultimate source for all things tech.
The fast-fashion retailer has debuted, and quickly expanded, an AI-based visual search and navigation tool for its mobile and e-commerce business.
Build an 'auto-tagging' image search service using Algolia and Google Cloud's Vision API
Hacker News Search, millions articles and comments at your fingertips.
In today’s digital age, information is more accessible than ever before. Open Source Intelligence (OSINT) collects and analyzes publicly…
Unpack the key features and marketing insights of SearchGPT, OpenAI’s innovative search tool and its potential to rival Google’s dominance.