Adding Semantic Search to a Directus Application

The blog post details the process of implementing semantic search in a Directus application by integrating it with Upstash Vector. Semantic search, which understands the meaning and intent behind queries rather than just matching keywords, is introduced by utilizing vector representations of data. The Directus application, a headless CMS, is set up to manage content, and its integration with Upstash Vector is explained. Upstash Vector serves as the embedding storage and retrieval system, handling vector embeddings of data stored in Directus. The blog instructs on setting up Directus using Docker or NPM, creating a data collection for books, and configuring Upstash Vector to store and query vector embeddings. The integration involves creating a custom extension in Directus to automatically store vector embeddings in Upstash Vector whenever new data is added. This setup enables semantic searches that return relevant results based on the query's meaning, enhancing data retrieval capabilities within the Directus application.

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