# Ranking and Boosting

Search results are ranked using the BM25 algorithm, which considers term frequency and document length.

# Field Weights (Boosting)

You can give more weight to matches found in specific fields. For example, a match in a Title field should usually rank higher than a match in a Description field.

• Use the + and - buttons in the Full Text Search settings to adjust the boost value for each field.

# Graph-based Ranking

In addition to text matching, the ranking can be influenced by graph metrics, such as the number of relationships a node has or specific properties of related nodes.