LlamaIndex handles long-term storage of indexed documents by utilizing a combination of structured data storage solutions and efficient indexing techniques. When documents are indexed, the system creates an organized format that allows for quick retrieval and manipulation of data. The indexed documents are stored in durable databases or cloud storage solutions, ensuring that they remain accessible over time. For example, LlamaIndex can integrate with databases like PostgreSQL or MongoDB, allowing users to choose a storage solution that suits their needs.
In addition to standard database storage, LlamaIndex supports features that optimize data retrieval. This includes mechanisms for updating and deleting documents efficiently. When a document is modified, only the updated parts may be re-indexed rather than re-indexing the entire document. This incremental update approach helps save storage space and improves performance. Additionally, the system is designed to handle versioning, allowing users to maintain historical versions of documents. This ensures that past data is not lost and can be accessed when necessary.
Furthermore, LlamaIndex provides backup and data retention strategies that are crucial for long-term storage. Regular backups help protect against data loss, and users can set retention policies to manage how long indexed documents are kept. For example, older documents that are no longer needed can be archived or deleted based on predefined rules. This proactive management of indexed documents allows developers to ensure that their data remains organized and secure in the long run, facilitating easier access and lower maintenance overhead.