What is Index Refreshing?
The process of updating retrieval system indices to reflect changes in the underlying data.
More about Index Refreshing:
Index Refreshing involves regularly updating the indices used by retrieval systems to ensure they reflect the latest changes in the underlying data. This process is critical for maintaining the accuracy and relevance of results in systems like semantic search or dense retrieval.
Index refreshing is especially important in dynamic environments where content frequently changes, such as news platforms, product catalogs, or live knowledge bases.
Frequently Asked Questions
Why is index refreshing important for retrieval systems?
It ensures that retrieval results remain accurate and up-to-date, improving user satisfaction and system reliability.
How is index refreshing implemented?
By periodically re-indexing data or incrementally updating indices when changes occur in the dataset.
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