Inside the Avocado Grove: From Canada to Germany and the Digital Marketing of Avocados

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My name is Laura, and I am responsible for digital marketing here at ArangoDB. 

In the following post, I will dive into my own experience working at ArangoDB and how I ended up from Northern Ontario, Canada to work in Germany at a native multi-model graph database company. Are you interested in learning more about working abroad, working remotely, or diving into a new industry? This post covers all of the above topics.

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Word Embeddings in ArangoDB

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This post will dive into the world of Natural Language Processing by using word embeddings to search movie descriptions in ArangoDB.

In this post we:

  • Discuss the background of word embeddings
  • Introduce the current state-of-the-art models for embedding text
  • Apply a model to produce embeddings of movie descriptions in an IMDb dataset
  • Perform similarity search in ArangoDB using these embeddings
  • Show you how to query the movie description embeddings in ArangoDB with custom search terms
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June 2021: What’s the Latest with ArangoDB?

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Hello Community,

Welcome to the sixth ArangoDB newsletter of 2021! Hard to believe we are already half-way through 2021 🤯

In this edition, we are excited to share: 

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ArangoBnB: Data Preparation Case Study

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This case study covers a data exploration and analysis scenario about modeling data when migrating to ArangoDB. The topics covered in this case study include:

  • Importing data into ArangoDB
  • Developing Application Requirements before modeling
  • Data Analysis and Exploration with AQL

This case study can hopefully be used as a guide as it shows step-by-step instructions and discusses the motivations in exploring and transforming data in preparation for a real-world application.
The information contained in this case study is derived from the development of the ArangoBnB project; a community project developed in JavaScript that is always open to new contributors. The project is an Airbnb clone with a Vue frontend and a React frontend being developed in parallel by the community. It is not necessary to download the project or be familiar with JavaScript for this guide. To see how we are using the data in a real-world project, check out the repository.

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