What Is Auto Weighting?

Auto weighting is Morphos AI's patent-pending method for scoring how strongly new content should update the existing semantic representation, at the moment of ingestion. It ensures that relevance, not recency or volume, drives what gets stored.

Why weighting matters

In traditional vector storage, every vector carries equal importance in a search, regardless of how relevant or significant the underlying data is. This means off-topic or low-value data competes equally with important data, which can degrade result quality.

How auto weighting helps

Auto weighting allows the system to automatically account for the relative importance of data during processing, without manual tuning. More significant information is appropriately represented, which contributes to cleaner search results.

Where auto weighting fits

Auto weighting is one of three named patent-pending innovations within Green Vectors, alongside continuous vectorization and megachunking. It is delivered through Kitana.