Estimated reading time: 12 minute

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