Kenny demonstrates how to build a flexible and expressive graph model and related queries that map closely to your domain needs, and which can be evolved as your application evolves.
As companies like Facebook and Google have introduced us to Graph Search and the Knowledge Graph, developers are learning the benefits of graph database architectures. Graph databases, like Neo4j, have increased in popularity by nearly 250% from last year - the highest among all other DBMS categories, according to db-engines.com. Join Kenny Bastani as we look at the benefits of using a graph database, explore various use cases and walkthrough creating a movie recommendation app on Neo4j 2.0.
Yurii Pashchenko: Zero-shot learning capabilities of CLIP model from OpenAILviv Startup Club
Yurii Pashchenko: Zero-shot learning capabilities of CLIP model from OpenAI
AI & BigData Online Day 2021
Website - https://aiconf.com.ua/
Youtube - https://www.youtube.com/startuplviv
FB - https://www.facebook.com/aiconf
Frontiers of Vision and Language: Bridging Images and Texts by Deep LearningYoshitaka Ushiku
Slide used on 11/11/2017 for the keynote in International Conference on Document Analysis and Recognition Workshop on Machine Learning.
(ICDAR WML 2017, https://icdarwml.wixsite.com/icdarwml2017)
This is a translated and updated version of https://www.slideshare.net/YoshitakaUshiku/deep-learning-73499744, which is written in Japanese.
Quoc Le, Software Engineer, Google at MLconf SFMLconf
Title: Deep Learning for Language Understanding
Abstract:
Many current language understanding algorithms rely on expert knowledge to engineer models and features. In this talk, I will discuss how to use Deep Learning to understand texts without much prior knowledge. In particular, our algorithms will learn the vector representations of words. These vector representations can be used to solve word analogy or translate unknown words between languages. Our algorithms also learn vector representations of sentences and documents. These vector representations preserve the semantics of sentences and documents and therefore can be used for machine translation, text classification, information retrieval and sentiment analysis.
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery ivaderivader
The paper presents three methods for text-driven manipulation of StyleGAN imagery using CLIP:
1. Direct optimization of the latent w vector to match a text prompt
2. Training a mapping function to map text to changes in the latent space
3. Finding global directions in the latent space corresponding to attributes by measuring distances between text embeddings
The methods allow editing StyleGAN images based on natural language instructions and demonstrate CLIP's ability to provide fine-grained controls, but rely on pretrained StyleGAN and CLIP models and may struggle with unseen text or image domains.
Adivina de _quienes_son_las_siguientes_cansiones[1]turnedspon8520
This document lists songs by various artists and asks the reader to guess which artist each song belongs to. It includes 3 songs each from Skrillex, Madeon, Slipknot, S.O.A.D, Bl3nd, and Swedish House Mafia. The reader is then asked if they lost or won in guessing the artists correctly and thanked for their attention.
Brynne Schultz introduces herself as an understanding and compassionate healthcare worker who is dedicated to teamwork, perseverance, and playfulness. She graduated from Lomira High School in 2009 and received her Bachelor's degree in Psychology in 2014. Her work experience includes being a dietary aide from 2006 to 2008 and serving as a line therapist from 2013 to the present. She provides her contact information and invites the reader to discuss how she can help.
The Philipswing can be considered the last part of the extensive renovation of The New Rijksmuseum (excluding the recently expressed ambitions of Wim Pijbes regarding the Extension for the XXth Century of course!). It will mostly house all... temporary expositions that the Museum has at stake. In the Amsterdam Office, we have been working on the execution of the project since the Opening of The Rijks, last April 2013. The progress is clearly visible: the new atrium is there, the light shimmers in and old a new merge in a natural way. The ground floor houses mixed public uses, including high end restaurant and exhibition areas. The first floor is close to finishing. At the end of this year the 1st temporary exhibition will be hosted. The 27th of May a press meeting will be organized.
The document discusses molecular genetics and mutations. It describes the central dogma of biology where DNA is transcribed into RNA which is then translated into protein. It explains the structure of DNA and RNA, and the three types of RNA involved in protein synthesis. The process of transcription and translation are defined. Mutations can be caused by environmental factors and result in changes to DNA sequence. Point mutations and frameshift mutations are described, and the potential effects of mutations on proteins and diseases are discussed.
Cassany, daniel (1999) la cocina de la escrituraMaribel Meza
Este documento habla sobre la importancia de la privacidad y la seguridad en línea. Explica que los usuarios deben proteger su información personal mediante contraseñas seguras y software antivirus, y tener cuidado con los sitios web fraudulentos o desconocidos. También recomienda configurar las preferencias de privacidad en las redes sociales para limitar quién puede ver los datos personales.
These webinar slides are an introduction to Neo4j and Graph Databases. They discuss the primary use cases for Graph Databases and the properties of Neo4j which make those use cases possible. They also cover the high-level steps of modeling, importing, and querying your data using Cypher and touch on RDBMS to Graph.
- The document discusses an introduction to graph-based modeling using Neo4j. It provides an agenda for topics covered including an introduction to graph modeling, a tour of Neo4j's browser, building a graph-based web app for movies, designing a Neo4j REST API, an introduction to Cypher query language, and translating questions to Cypher queries.
- Examples and demonstrations are provided for modeling data as graphs, using Neo4j's browser to visualize and query graph data, designing the architecture for a movies sample app, and translating natural language questions to Cypher queries to retrieve and analyze graph data.
This presentation introduces the graph model as obvious choice for rich and connected data. Graph Databases are a category of open-source NoSQL datastores which are specialized in storing, handling and querying graph structures efficiently.
Use cases represent the applicability of the graph model across many domains.
Neo4j as the most widely used graph database supports the property graph model, which is explained in detail.
To query a graph database a powerful and expressive but also friendly and easily understandable query language that is tailored for graph patterns is key. Neo4j's Cypher is such a query language developed from the ground up to support expressing challenging use-cases in a comprehensive way.
A series of examples rounds up the presentation to apply the lessons learned.
This document provides an overview of graph databases and Neo4j. It begins with an introduction to graph databases and their advantages over relational databases for modeling connected data. Examples of real-world use cases that are well-suited for graph databases are given. The document then describes the core components of the graph data model including nodes, relationships, properties, and labels. It provides examples of how to model data as a graph and query graphs using Cypher, the query language for Neo4j. The document concludes by discussing Neo4j as an example of a graph database and its key features and capabilities.
Implementing an SEO Strategy for Your Liferay Websitesrivetlogic
The document discusses search engine optimization (SEO) techniques for websites built with Liferay. It recommends controlling meta information, using friendly URLs, and creating SEO-optimized page types with decoupled authoring and publishing. The presentation provides examples from Sensus and discusses challenges like HTML titles and breadcrumbs that can be addressed by intercepting and modifying Liferay's code.
The document discusses building sustainable large Android apps. It recommends establishing project conventions for naming, dependencies, resources and more. It also recommends structuring the app based on features and using fragments to separate UI from logic. The document discusses architectural patterns like MVP and implementing MVP with a passive view to make the code testable, reusable and maintainable.
GraphSummit Toronto: Keynote - Innovating with Graphs Neo4j
Jim Webber Ph.D., Chief Scientist, Neo4j
Learn about the importance of graph technology, its evolution over the last few years and the impact it has had on the database and data analytics industry. This session will provide an overview of graph technology and talk about the past, present, and future of graphs and data management. Multiple use cases and customer examples will be covered, including examples of where graph databases and graph data science can assist and accelerate machine learning and artificial intelligence projects.
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceNeo4j
The document discusses Neo4j's graph data science capabilities. It highlights that Neo4j provides tools for graph algorithms, machine learning pipelines for tasks like node classification and link prediction, and a graph catalog for managing graph projections from the underlying database. The document also notes that Neo4j's capabilities allow users to leverage relationships in connected data to answer business questions.
Neo4j in Production: A look at Neo4j in the Real WorldNeo4j
This document summarizes a presentation about graph databases and Neo4j. It includes case studies of companies like Walmart and Adidas using Neo4j for real-time recommendations. It also discusses how graph databases are better suited than relational databases for recommendation systems because they can easily model relationships between users, products, and transactions. A demo is shown of using Cypher queries to build a recommendation engine in Neo4j by loading product, customer, and order data. The document concludes by providing resources for moving forward with Neo4j.
Neo4j Innovation Lab – Bringing the Best of Data Science and Design Thinking ...Neo4j
The document discusses the importance of understanding data structures when designing products. It notes that product designers and data scientists both aim to reduce friction. Their work intersects as user experience depends on the underlying data architecture. Different data structures like relational databases, graphs, and knowledge graphs are suited to different problems. Case studies show how graphs power applications like image recognition and last-mile delivery by connecting product, inventory, logistics and other data. The document proposes a data thinking prototyping framework to map business problems, data models, value opportunities and applications when considering new solutions.
Road to NODES Workshop Series - Intro to Neo4jNeo4j
The document provides an introduction to Neo4j and graphs. It discusses what graphs are, why they are useful, and how to identify graph problems. It then introduces the Neo4j property graph model including nodes, relationships, and properties. The document demonstrates querying graphs using Cypher and includes hands-on examples using the movie graph on Neo4j AuraDB. It also summarizes the Neo4j graph data platform and ecosystem and provides resources for continuing to learn about Neo4j.
Graph databases are used to represent graph structures with nodes, edges and properties. Neo4j, an open-source graph database is reliable and fast for managing and querying highly connected data. Will explore how to install and configure, create nodes and relationships, query with the Cypher Query Language, importing data and using Neo4j in concert with SQL Server... Providing answers and insight with visual diagrams about connected data that you have in your SQL Server Databases!
Nida event oracle business analytics 1 sep2016BAINIDA
Oracle Business Analytics ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
raph Databases with Neo4j – Emil Eifrembuildacloud
This document provides an overview of the graph database Neo4j. It discusses that Neo4j is a graph database with nodes, relationships, and properties that is well-suited for complex, highly connected data. Examples are given demonstrating how Neo4j can be used for network management in telecommunications companies and content management, access control, and collaboration at Adobe. Cypher, the query language for Neo4j, is also introduced.
Brynne Schultz introduces herself as an understanding and compassionate healthcare worker who is dedicated to teamwork, perseverance, and playfulness. She graduated from Lomira High School in 2009 and received her Bachelor's degree in Psychology in 2014. Her work experience includes being a dietary aide from 2006 to 2008 and serving as a line therapist from 2013 to the present. She provides her contact information and invites the reader to discuss how she can help.
The Philipswing can be considered the last part of the extensive renovation of The New Rijksmuseum (excluding the recently expressed ambitions of Wim Pijbes regarding the Extension for the XXth Century of course!). It will mostly house all... temporary expositions that the Museum has at stake. In the Amsterdam Office, we have been working on the execution of the project since the Opening of The Rijks, last April 2013. The progress is clearly visible: the new atrium is there, the light shimmers in and old a new merge in a natural way. The ground floor houses mixed public uses, including high end restaurant and exhibition areas. The first floor is close to finishing. At the end of this year the 1st temporary exhibition will be hosted. The 27th of May a press meeting will be organized.
The document discusses molecular genetics and mutations. It describes the central dogma of biology where DNA is transcribed into RNA which is then translated into protein. It explains the structure of DNA and RNA, and the three types of RNA involved in protein synthesis. The process of transcription and translation are defined. Mutations can be caused by environmental factors and result in changes to DNA sequence. Point mutations and frameshift mutations are described, and the potential effects of mutations on proteins and diseases are discussed.
Cassany, daniel (1999) la cocina de la escrituraMaribel Meza
Este documento habla sobre la importancia de la privacidad y la seguridad en línea. Explica que los usuarios deben proteger su información personal mediante contraseñas seguras y software antivirus, y tener cuidado con los sitios web fraudulentos o desconocidos. También recomienda configurar las preferencias de privacidad en las redes sociales para limitar quién puede ver los datos personales.
These webinar slides are an introduction to Neo4j and Graph Databases. They discuss the primary use cases for Graph Databases and the properties of Neo4j which make those use cases possible. They also cover the high-level steps of modeling, importing, and querying your data using Cypher and touch on RDBMS to Graph.
- The document discusses an introduction to graph-based modeling using Neo4j. It provides an agenda for topics covered including an introduction to graph modeling, a tour of Neo4j's browser, building a graph-based web app for movies, designing a Neo4j REST API, an introduction to Cypher query language, and translating questions to Cypher queries.
- Examples and demonstrations are provided for modeling data as graphs, using Neo4j's browser to visualize and query graph data, designing the architecture for a movies sample app, and translating natural language questions to Cypher queries to retrieve and analyze graph data.
This presentation introduces the graph model as obvious choice for rich and connected data. Graph Databases are a category of open-source NoSQL datastores which are specialized in storing, handling and querying graph structures efficiently.
Use cases represent the applicability of the graph model across many domains.
Neo4j as the most widely used graph database supports the property graph model, which is explained in detail.
To query a graph database a powerful and expressive but also friendly and easily understandable query language that is tailored for graph patterns is key. Neo4j's Cypher is such a query language developed from the ground up to support expressing challenging use-cases in a comprehensive way.
A series of examples rounds up the presentation to apply the lessons learned.
This document provides an overview of graph databases and Neo4j. It begins with an introduction to graph databases and their advantages over relational databases for modeling connected data. Examples of real-world use cases that are well-suited for graph databases are given. The document then describes the core components of the graph data model including nodes, relationships, properties, and labels. It provides examples of how to model data as a graph and query graphs using Cypher, the query language for Neo4j. The document concludes by discussing Neo4j as an example of a graph database and its key features and capabilities.
Implementing an SEO Strategy for Your Liferay Websitesrivetlogic
The document discusses search engine optimization (SEO) techniques for websites built with Liferay. It recommends controlling meta information, using friendly URLs, and creating SEO-optimized page types with decoupled authoring and publishing. The presentation provides examples from Sensus and discusses challenges like HTML titles and breadcrumbs that can be addressed by intercepting and modifying Liferay's code.
The document discusses building sustainable large Android apps. It recommends establishing project conventions for naming, dependencies, resources and more. It also recommends structuring the app based on features and using fragments to separate UI from logic. The document discusses architectural patterns like MVP and implementing MVP with a passive view to make the code testable, reusable and maintainable.
GraphSummit Toronto: Keynote - Innovating with Graphs Neo4j
Jim Webber Ph.D., Chief Scientist, Neo4j
Learn about the importance of graph technology, its evolution over the last few years and the impact it has had on the database and data analytics industry. This session will provide an overview of graph technology and talk about the past, present, and future of graphs and data management. Multiple use cases and customer examples will be covered, including examples of where graph databases and graph data science can assist and accelerate machine learning and artificial intelligence projects.
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceNeo4j
The document discusses Neo4j's graph data science capabilities. It highlights that Neo4j provides tools for graph algorithms, machine learning pipelines for tasks like node classification and link prediction, and a graph catalog for managing graph projections from the underlying database. The document also notes that Neo4j's capabilities allow users to leverage relationships in connected data to answer business questions.
Neo4j in Production: A look at Neo4j in the Real WorldNeo4j
This document summarizes a presentation about graph databases and Neo4j. It includes case studies of companies like Walmart and Adidas using Neo4j for real-time recommendations. It also discusses how graph databases are better suited than relational databases for recommendation systems because they can easily model relationships between users, products, and transactions. A demo is shown of using Cypher queries to build a recommendation engine in Neo4j by loading product, customer, and order data. The document concludes by providing resources for moving forward with Neo4j.
Neo4j Innovation Lab – Bringing the Best of Data Science and Design Thinking ...Neo4j
The document discusses the importance of understanding data structures when designing products. It notes that product designers and data scientists both aim to reduce friction. Their work intersects as user experience depends on the underlying data architecture. Different data structures like relational databases, graphs, and knowledge graphs are suited to different problems. Case studies show how graphs power applications like image recognition and last-mile delivery by connecting product, inventory, logistics and other data. The document proposes a data thinking prototyping framework to map business problems, data models, value opportunities and applications when considering new solutions.
Road to NODES Workshop Series - Intro to Neo4jNeo4j
The document provides an introduction to Neo4j and graphs. It discusses what graphs are, why they are useful, and how to identify graph problems. It then introduces the Neo4j property graph model including nodes, relationships, and properties. The document demonstrates querying graphs using Cypher and includes hands-on examples using the movie graph on Neo4j AuraDB. It also summarizes the Neo4j graph data platform and ecosystem and provides resources for continuing to learn about Neo4j.
Graph databases are used to represent graph structures with nodes, edges and properties. Neo4j, an open-source graph database is reliable and fast for managing and querying highly connected data. Will explore how to install and configure, create nodes and relationships, query with the Cypher Query Language, importing data and using Neo4j in concert with SQL Server... Providing answers and insight with visual diagrams about connected data that you have in your SQL Server Databases!
Nida event oracle business analytics 1 sep2016BAINIDA
Oracle Business Analytics ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
raph Databases with Neo4j – Emil Eifrembuildacloud
This document provides an overview of the graph database Neo4j. It discusses that Neo4j is a graph database with nodes, relationships, and properties that is well-suited for complex, highly connected data. Examples are given demonstrating how Neo4j can be used for network management in telecommunications companies and content management, access control, and collaboration at Adobe. Cypher, the query language for Neo4j, is also introduced.
This document provides an overview agenda for a Neo4j webinar. It introduces the presenters, Riccardo Ciarlo and Ivan Zoratti, and outlines the following topics: an introduction to Neo4j, what a graph database is, key use cases and how Neo4j enables them to be effective and fast, exploring and visualizing graphs, creating queries for the Neo4j database, and a question and discussion period.
Polyglot Persistence with MongoDB and Neo4jCorie Pollock
Learn how to enhance your application by using Neo4j and MongoDB together. Polyglot persistence is the concept of taking advantage of the strengths of different database technologies to improve functionality and enhance your application. In this webinar we will examine some use cases where it makes sense to use a document database (MongoDB) with a graph database (Neo4j) in a single application. Specifically, we will show how MongoDB can be used to provide search and browsing functionality for a product catalog while using Neo4j to provide personalized product recommendations. Finally we will look at the Neo4j Doc Manager project which facilitates syncing data from MongoDB to Neo4j to make polyglot persistence with MongoDB and Neo4j much easier.
The document discusses Oracle JET (JavaScript Extension Toolkit), which is a library for building responsive web applications. It is aimed at medium to advanced JavaScript developers and focuses on data visualization, especially for cloud data. Oracle JET is enterprise-ready with a focus on accessibility, modularity, and other requirements. It is based on open source libraries like RequireJS and KnockoutJS. The document provides examples of Oracle JET's use within Oracle and demos of its capabilities.
Neo4j GraphTalk Helsinki - Introduction and Graph Use CasesNeo4j
This document provides an introduction to graphs and Neo4j. It discusses that Neo4j is a native graph database that allows organizations to leverage connections in data in real-time to create value. It then provides information on Neo4j as a company and as a product, including that it is the world's leading graph database. The document goes on to define what graphs are from a data structure perspective and provides examples of famous graphs like social networks. It discusses why graph databases are useful compared to relational databases for representing complex, connected data and provides examples of use cases for Neo4j like recommendations, fraud detection, and network analysis.
In the Eventual Consistency of Succeeding at MicroservicesKenny Bastani
Kenny Bastani gave a presentation on moving from monolithic architectures to microservices. He began with an overview of problems with monoliths and how services oriented architectures (SOA) and microservices address these issues. He then provided an example of an online store application broken into microservices. Bastani also discussed how Spring Boot can help develop microservices and the importance of implementing event-driven architectures between distributed services using events, commands, and CQRS. He finished by discussing serverless event handlers and how microservices should leverage events.
Building Cloud Native Architectures with SpringKenny Bastani
Cloud-native architectures are an emerging practice of software development and delivery. This deck was presented at the Pivotal Cloud Native roadshow and teaches developers how to build modern cloud-native applications using the popular JVM-based application framework: Spring Boot. You'll be provided with a walk through from the monolith application architecture into the more modern microservices architecture. Two open source reference architectures are introduced for building cloud-native microservices. Learn the basics of cloud native platforms and also the approaches for integrating and strangling legacy systems.
https://pivotal.io/event/pivotal-cloud-native-roadshow
Extending the Platform with Spring Boot and Cloud FoundryKenny Bastani
When developing cloud native applications that are deployed and operated using a cloud platform, such as Cloud Foundry, there becomes a need to provision middleware services using the platform. The result of building platform services are that developers using the platform are able to take advantage of service offerings as bindings for their application deployments.
Back your app with MySQL and Redis on Cloud FoundryKenny Bastani
In this session, we will build a minimum viable Spring Data web service with REST API, add a MySQL backing service as the primary data store, and a Redis Labs backing service for caching. We will demonstrate performance metrics without Redis caching enabled and then with Redis caching enabled. I will also provide an intro-level explanation of the platform capabilities within Pivotal Web Services
Using Docker, Neo4j, and Spring Cloud for Developing MicroservicesKenny Bastani
This document outlines a presentation about using Docker, Neo4j, and Spring Cloud for developing microservices. Specifically, it discusses using these technologies to build an application that ranks Twitter profiles using the PageRank algorithm. It provides code examples and descriptions of how to connect Neo4j and Apache Spark to submit PageRank jobs, build Spring Data repositories and domain models, connect to the Twitter API, and create a ranking dashboard.
In this talk, Kenny Bastani will introduce you to Spring Cloud, a set of tools for building cloud-native JVM applications. We will take a look at some of the common patterns for microservice architectures and how to use Cloud Foundry to deploy multiple microservices to the cloud. We will also dive into a microservices example project of a cloud-native application built using Spring Boot and Spring Cloud. Using this example project, I'll show you how to use Cloud Foundry to spin up a microservice cluster. We will then explore what a cloud-native application looks like when using self-describing REST APIs that link multiple microservices together.
Building REST APIs with Spring Boot and Spring CloudKenny Bastani
In this talk I will introduce you to Spring Cloud, a set of tools for building cloud-native JVM applications. We will take a look at some of the common patterns for microservice architectures and how to use Cloud Foundry to deploy multiple microservices to the cloud.
We will also dive into a microservices example project of a cloud-native application built using Spring Boot and Spring Cloud. Using this example project, I'll show you how to use Lattice to spin up a microservice cluster on AWS. We will then explore what a cloud-native application looks like when using self-describing REST APIs that link multiple microservices together.
Open Source Big Graph Analytics on Neo4j with Apache SparkKenny Bastani
In this talk I will introduce you to a Docker container that provides an easy way to do distributed graph processing using Apache Spark GraphX and a Neo4j graph database. You’ll learn how to analyze big data graphs that are exported from Neo4j and consequently updated from the results of a Spark GraphX analysis. The types of analysis I will be talking about are PageRank, connected components, triangle counting, and community detection.
Big Graph Analytics on Neo4j with Apache SparkKenny Bastani
In this talk I will introduce you to a Docker container that provides you an easy way to do distributed graph processing using Apache Spark GraphX and a Neo4j graph database. You'll learn how to analyze big data graphs that are exported from Neo4j and consequently updated from the results of a Spark GraphX analysis. The types of analysis I will be talking about are PageRank, connected components, triangle counting, and community detection.
Database technologies have evolved to be able to store big data, but are largely inflexible. For complex graph data models stored in a relational database there may be tedious transformations and shuffling around of data to perform large scale analysis.
Fast and scalable analysis of big data has become a critical competitive advantage for companies. There are open source tools like Apache Hadoop and Apache Spark that are providing opportunities for companies to solve these big data problems in a scalable way. Platforms like these have become the foundation of the big data analysis movement.
Speakers
This document discusses document classification using graphs and Neo4j. It introduces hierarchical pattern recognition (HPR) for graph-based document classification. HPR learns deep feature representations in a hierarchy using finite state machines. The features are mapped to a vector space model for classification. The document demonstrates HPR by classifying US presidential speeches by political affiliation, achieving over 70% similarity for predicted vs actual labels. It encourages attendees to get involved in the Neo4j community.
Building a Graph-based Analytics PlatformKenny Bastani
Meetup is a valuable source of data for understanding trends around products or brands. Meetup does not support an analytics package to track group statistics overtime unless you are an administrator of a group. There are no third-party tools or websites that analyze Meetup trends to understand how communities grow.
In this talk I will present a graph-based analytics platform that uses the Meetup.com API to collect and analyze membership statistics over time.
This talk will cover:
How to poll and import periodic data from the Meetup.com API into Neo4j using Node.js.
How to track meetup group growth over time using a Neo4j graph database using Node.js.
How to apply tags to meetup groups and report combined growth of all groups over time.
How to build an interactive documented analytics API to support applications using Node.js and Neo4j.
How to build a business dashboard to visualize time-based statistics and reports using a Node.js based REST API that queries Neo4j.
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
Vaibhav Gupta BAML: AI work flows without Hallucinationsjohn409870
Shipping Agents
Vaibhav Gupta
Cofounder @ Boundary
in/vaigup
boundaryml/baml
Imagine if every API call you made
failed only 5% of the time
boundaryml/baml
Imagine if every LLM call you made
failed only 5% of the time
boundaryml/baml
Imagine if every LLM call you made
failed only 5% of the time
boundaryml/baml
Fault tolerant systems are hard
but now everything must be
fault tolerant
boundaryml/baml
We need to change how we
think about these systems
Aaron Villalpando
Cofounder @ Boundary
Boundary
Combinator
boundaryml/baml
We used to write websites like this:
boundaryml/baml
But now we do this:
boundaryml/baml
Problems web dev had:
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
Reuse components? Good luck.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
Reuse components? Good luck.
Iteration loops took minutes.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
Reuse components? Good luck.
Iteration loops took minutes.
Low engineering rigor
boundaryml/baml
React added engineering rigor
boundaryml/baml
The syntax we use changes how we
think about problems
boundaryml/baml
We used to write agents like this:
boundaryml/baml
Problems agents have:
boundaryml/baml
Problems agents have:
Strings. Strings everywhere.
Context management is impossible.
Changing one thing breaks another.
New models come out all the time.
Iteration loops take minutes.
boundaryml/baml
Problems agents have:
Strings. Strings everywhere.
Context management is impossible.
Changing one thing breaks another.
New models come out all the time.
Iteration loops take minutes.
Low engineering rigor
boundaryml/baml
Agents need
the expressiveness of English,
but the structure of code
F*** You, Show Me The Prompt.
boundaryml/baml
<show don’t tell>
Less prompting +
More engineering
=
Reliability +
Maintainability
BAML
Sam
Greg Antonio
Chris
turned down
openai to join
ex-founder, one
of the earliest
BAML users
MIT PhD
20+ years in
compilers
made his own
database, 400k+
youtube views
Vaibhav Gupta
in/vaigup
[email protected]
boundaryml/baml
Thank you!
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Mastering Advance Window Functions in SQL.pdfSpiral Mantra
How well do you really know SQL?📊
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If PARTITION BY and ROW_NUMBER() sound familiar but still confuse you, it’s time to upgrade your knowledge
And you can schedule a 1:1 call with our industry experts: https://spiralmantra.com/contact-us/ or drop us a mail at [email protected]
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
340. supported
47
count(x) - add up the number of occurrences
min(x) - get the lowest value
max(x) - get the highest value
avg(x) - get the average of a numeric value
sum(x) - add up all values
collect(x) - collected all the occurrences into an array
396. node
58
MATCH (tom:Person {name:Tom Hanks})-[:ACTED_IN]-(movie),
(director)-[:DIRECTED]-(movie)
RETURN director.name;
(Directors who worked with Tom Hanks)