KDnuggets

MARCH 22, 2024

GenAI has enabled new search engine platforms with unique features and advantages, challenging Google's dominance.

Engineering 139

Engineering 139

Eventbrite Engineering

MARCH 12, 2024

1 Background Relevance tuning is the process of making incremental changes to a search algorithm to improve the ranking of search results to better meet the information needs and preferences of users. Authored by: Zelal Gungordu and Delaine Wendling.

Algorithm 52

Algorithm Engineering Process Machine Learning 52

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results.

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Unstructured Data Metadata Machine Learning SQL 105

KDnuggets

JANUARY 17, 2024

Semantic vector search is an advanced search technique revolutionizes how we interact with information by understanding the true meaning of words, thus leading to more relevant and insightful results.

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Process 90

ArcGIS

NOVEMBER 20, 2023

The ArcGIS Pro search index makes it possible to find project data and other resources. See what’s new with indexing in ArcGIS Pro 3.2.

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Project Data IT Data Management 73

Rockset

SEPTEMBER 12, 2023

This capability transcends what’s possible with ordinary keyword search and instead uses semantic search to return similar or related images. This blog will cover a brief history of semantic search, its use of vectors, and how it differs from keyword search. Our brains just don’t work like search engines.

Datasets 52

Datasets Machine Learning Structured Data Engineering 52

Knowledge Hut

FEBRUARY 7, 2023

In this post, the Binary Search Algorithm will be covered. Finding a certain element in the list is the process of searching. If not, the search is deemed fruitless. Finding a certain element in the list is the process of searching. If not, the search is deemed fruitless. What is Binary Search Algorithm?

Algorithm 59

Algorithm Coding Java Programming 59

LinkedIn Engineering

DECEMBER 8, 2022

Search functionality is a core part of most data-driven products, and is used widely at LinkedIn. We have long provided a central platform for search functionalities; however, it was not fully managed in the sense that the application teams needed to own and operate the corresponding resources.

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Pipeline-centric Management Cloud Transportation 55

Booking.com Engineering

MAY 1, 2023

At Booking.com we’re passionate about making the life of our users easier by providing the best property search capabilities. City, attraction and airport markers on map How to search on the map? Thus, we can use a BBox as our search key when searching for the map contents. Search with a quadtree.

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Software Engineer Software Engineering Coding Utilities 98

KDnuggets

FEBRUARY 17, 2022

In this article, we will explain one such method to build a visual search engine. The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

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Engineering Building Datasets Algorithm 97

Rockset

AUGUST 28, 2023

We founded Rockset to empower everyone from Fortune 500 to a five-person startup to build powerful search and AI applications and scale them efficiently in the cloud. Our team is on a mission to bring the power of search and AI to every digital disruptor in the world. All of this was enabled by the infrastructure we built.

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Metadata Unstructured Data SQL Database 78

Snowflake

APRIL 17, 2023

We are excited to announce a major update to the Search Optimization Service, which will accelerate both point lookups and analytical queries while at the same time reducing cost for our customers. This is a perfect use case for the Search Optimization Service. But search-optimizing an entire table can be quite costly.

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Food Structured Data Utilities Accessible 54

Rockset

NOVEMBER 7, 2023

Over the past six months the engineering team at Rockset has fully integrated similarity indexes into its search and analytics database. Rockset built a Converged Index which includes elements of a search index, columnar store, row store and now a similarity index that can scale to billions of vectors and terabytes of data.

Cloud 64

Cloud Metadata Database SQL 64

Towards Data Science

FEBRUARY 19, 2024

Image from Unsplash Building a Semantic Book Search: Scale an Embedding Pipeline with Apache Spark and AWS EMR Serverless Using OpenAI’s Clip model to support natural language search on a collection of 70k book covers In a previous post I did a little PoC to see if I could use OpenAI’s Clip model to build a semantic book search.

AWS 60

AWS Building Bytes Python 60

ThoughtSpot

SEPTEMBER 13, 2023

By bringing governed data directly to end business users in a familiar and search-friendly BI solution like ThoughtSpot, you can democratize access to safe, reliable, self-service insights across your organization. This action automatically generates ThoughtSpot tables which allows you to search your real-time data.

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BI Google Cloud Data Governance Business Intelligence 80

KDnuggets

MARCH 14, 2023

People click on top items in search and recommendations more often because they are on top, not because of their relevancy. How can this problem be solved?

Machine Learning 95

Machine Learning 95

Rockset

AUGUST 27, 2023

You’ve decided to use vector search in your application, product, or business. You’ve done the research on how and why embeddings and vector search make a problem solvable or can enable new features. Be very wary of homerolled “vector-search infra.” That’s probably a choice you want to make consciously.

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Metadata Database Algorithm SQL 52

Scott Logic

AUGUST 11, 2023

This relies on Google domination of the search engine market with Google Search enjoying a 92% market share. This is because Google search prioritises web pages that uses Google Ads, and the self proclaimed second largest search engine on the internet is Youtube which exclusively uses Google Ads. What are search engines?

Engineering 52

Engineering AWS Datasets Metadata 52

KDnuggets

AUGUST 30, 2022

Doug Turnbull’s ‘ML Powered Search’ Live Cohort starts Oct 11 on Sphere. Join now to learn to create ranking solutions that maximize conversions and clicks, identify & improve challenging search queries using ML, and more.

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Rockset

MAY 8, 2023

Many organizations that we’ve spoken to are in the exploration phase of using vector search for AI-powered personalization, recommendations, semantic search and anomaly detection. What is vector search? Embedded content: [link] This is obviously a simplified visualization as vector search operates in high-dimensional spaces.

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Metadata Algorithm Datasets Google Cloud 52

U-Next

JUNE 29, 2022

What is Searching in Data Structure? The process of retrieving the needed information from a collection of objects stored as elements in computer memory is referred to as searching in data structure. Searching Methods. As an example, consider Linear Search in c. Linear Search. The average time. For example: .

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Algorithm Computer Science Data Data Collection 52

KDnuggets

FEBRUARY 9, 2023

Qdrant open-source vector similarity search engine is now available in the cloud. The cloud platform for Qdrant offers business users cost-efficient, fully managed service in addition to powerful features of their open-source vector search database.

Cloud 78

Cloud Engineering Management Database 78

Pinterest Engineering

MAY 25, 2023

In this post, we show how we improved diversification on Pinterest for three different surfaces: Search, Related Products, and New User Homefeed. In addition to improved user experience and satisfaction, this can have a positive business impact through increased engagement, retention, and trust in the platform.

Utilities 82

Utilities Food Machine Learning Algorithm 82

Rockset

SEPTEMBER 19, 2023

As a search and analytics database, Rockset powers many personalization, anomaly detection, AI, and vector applications that need fast queries on real-time data. Rockset maintains inverted indexes for data, enabling it to efficiently run search queries without scanning over all of the data. This can be a bottleneck.

Utilities 59

Utilities Database Accessible Accessibility 59

Rockset

JANUARY 30, 2024

In 2023, Rockset announced a new cloud architecture for search and analytics that separates compute-storage and compute-compute. In this blog, we delve into each of these features and how they are giving users more cost controls for their search and AI applications. This is a game changer in disaggregated, real-time architectures.

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Data Ingestion Utilities Architecture SQL 64

Rockset

OCTOBER 13, 2023

Note: for important background on vector search, see part 1 of our Introduction to Semantic Search: From Keywords to Vectors. When building a vector search app, you’re going to end up managing a lot of vectors, also known as embeddings. Nearest Neighbor Search What precisely is meant by “nearby” vectors?

Database 52

Database Metadata Algorithm Cloud 52

Data Engineering Podcast

MAY 25, 2021

In this episode he explains how this technology will allow teams to accelerate the speed of innovation, how vectors make it possible to build more advanced search functionality, and how Pinecone is architected. What are some of the contexts where someone would want to perform a similarity search?

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Database Building Data Warehouse Machine Learning 100

KDnuggets

JULY 13, 2023

New approach represents problem-solving as search over reasoning steps for large language models, allowing strategic exploration and planning beyond left-to-right decoding. This improves performance on challenges like math puzzles and creative writing, and enhances interpretability and applicability of LLMs.

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KDnuggets

FEBRUARY 9, 2022

In this article, we will explain one such method to build a visual search engine. The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

Building 98

Building Engineering Datasets Algorithm 98

KDnuggets

SEPTEMBER 30, 2022

The good news is that there are several easy ways to improve your search application’s quality and performance. There are many places to start improving and optimizing and it’s easy to get bogged down.

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KDnuggets

APRIL 11, 2024

Learn how to use various data science platforms to secure your first job.

Data Science 116

Data Science Data 116

KDnuggets

OCTOBER 5, 2022

A comprehensive guide on optimizing model hyperparameters with Scikit-Learn.

Python 133

Python Machine Learning 133

Rockset

JANUARY 11, 2023

Analytics on DynamoDB Engineering teams often need to run complex filters, aggregations and text searches on data from DynamoDB. Elasticsearch is an open-source distributed search engine built on Lucene and used for text search and log analytics use cases.

AWS 52

AWS Media NoSQL Database 52

Tweag

DECEMBER 12, 2022

The site search.nixos.org is used to search for packages, options, and flakes. This can now be used with nixos-search to deprecate our wrapped nix evaluations. For anyone unfamiliar, flakes exist to provide a standard format to package Nix-based projects. So what does the end result look like?

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Metadata Programming Software Engineer Software Engineering 40

KDnuggets

APRIL 21, 2022

Nota AI has launched the beta testing for NetsPresso Model Search, a hardware-aware autoML tool which searches and finds optimized models for a target device.

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Confluent

APRIL 8, 2021

Together, we’re enabling our joint customers to set data in motion, and through that, deliver optimized search, real-time analytics, […]. Today, I am delighted to announce an expanded partnership with Elastic.

Data 113

Data Programming 113

KDnuggets

AUGUST 6, 2019

Learn how to use a simple random search in Python to get good results in less time. Feature selection is one of the most important tasks in machine learning.

Python 110

Python Machine Learning 110