Welcome to the eighth episode of getting started with Dgraph. In the previous episode, we learned about building a twitter-like user-search feature using Dgraph's fuzzy search. In this episode, we'll build a graph of tourist locations around San Francisco and help our Zoologist friend, Mary, and her team in their mission to conserve birds using Dgraph's geolocation capabilities. You might have used Google to find the restaurants near you or to find the shopping centres within a mile of your current location.

Welcome to the seventh episode of getting started with Dgraph. In the previous episode, we learned about building advanced text searches on social graphs in Dgraph, by modeling tweets as an example. We queried the tweets using the full-text and trigram indices and implemented full-text and regular-expression based search on the tweets. In this tutorial, we'll continue exploring Dgraph's string querying capabilities using the twitter model from the fifth and the sixth tutorial.

We are excited to announce that the “Get Started with Dgraph” of our documentation site now includes the episodes from our getting started blog series. This blog series consists of various tutorials that are helpful for both beginners and intermediates to get started with Dgraph and to understand the product functionalities better. At the time of writing, we’ve published six tutorial episodes, and you can find all of them on the docs.

Welcome to the sixth episode of getting started with Dgraph. In the previous episode, we learned about building social graphs in Dgraph, by modeling tweets as an example. We queried the tweets using the hash and exact indices, and implemented a keyword-based search to find your favorite tweets using the term index and its functions. In this tutorial, we'll continue from where we left off and learn about advanced text search features in Dgraph.

Welcome to the fifth episode of getting started with Dgraph. In the previous episode, we learned about using multi-language strings and operations on them using language tags. In this episode, we'll model tweets in Dgraph and, using it, we'll learn more about string indices in Dgraph. We'll specifically learn about: Modeling tweets in Dgraph. Using String indices in Dgraph Querying twitter users using the hash index. Comparing strings using the exact index.

Welcome to the fourth episode of getting started with Dgraph. In the previous episode, we learned about Datatypes, Indexing, Filtering, and Reverse traversals in Dgraph. In this episode, we'll learn about using multi-language strings and operations on them using the language tags. Strings and languages Strings values in Dgraph are of UTF-8 format. Dgraph also supports values for string predicate types in multiple languages. The multi-lingual capability is particularly useful to build features, which requires you to store the same information in multiple languages.

Welcome to the third episode of getting started with Dgraph. In the previous episode of the tutorial, we learned about the CRUD operations using UIDs. We also learned about traversals and recursive traversals. In this tutorial, we'll learn about Dgraph's basic types and how to query for them. Specifically, we'll learn about: Basic data types in Dgraph. Querying for predicate values. Indexing. Filtering nodes. Traversing in reverse direction. Let's start by building the following graph of a simple blog application.

Welcome to the second episode of getting started with Dgraph. In the last episode of the tutorial, we learned some of the basics of Dgraph. Including how to run the database, add new nodes and predicates, and query them back. In this episode, we'll build the above Graph and learn more about operations using the UID (Universal Identifier) of the nodes. Specifically, we'll learn about: Querying and updating nodes, deleting predicates using their UIDs.