Strategies

Strategies determine which nodes are selected during traversal.

All strategies allow you to control how many nodes are retrieved (k) as well as how many nodes are found during the initial vector search (start_k) and each step of the traversal (adjacent_k) as well as bounding the nodes retrieved based on depth (max_depth).

Eager

The Eager strategy selects all of the discovered nodes at each step of the traversal.

It doesn't support configuration beyond the standard options.

MMR

The MMR strategy selects nodes with the highest maximum marginal relevance score at each iteration.

It can be configured with a lambda_mult which controls the trade-off between relevance and diversity.

Scored

The Scored strategy applies a user-defined function to each node to assign a score, and selects a number of nodes with the highest scores.

User-Defined Strategies

You can also implement your own Strategy. This allows you to control how discovered nodes are tracked and selected for traversal.