Freshness and retention

Fresh data and effective retention strategies ensure that your content is relevant and delivered on time. Freshness keeps users engaged with the latest articles, comments, and recommendations. Retention strategies manage the data lifecycle, preserving valuable historical data for analytics while purging obsolete data. This section explores methods for ensuring up-to-date content and efficient data flow.

Real-time updates

The primary concern is to ingest and update new data in real time, making it available across all cloud regions. For the news site, this means new articles and their vector embeddings should be promptly persisted and replicated for global access.

To achieve this with a distributed data model and application, use an ACID transaction to ensure that the article and its content embeddings are written together as a single unit. For an example of creating MongoDB transactions in Python, see https://learn.mongodb.com/learn/course/mongodb-crud...