For AI agents: a documentation index is available at the root level at /llms.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Retrieves the most similar points to a given target, constrained by the provided context.
Context Search: When only the context is provided (without a target), pairs of points are used to generate a loss that guides the search towards the area where most positive examples overlap. The score minimizes finding points closer to a negative example than to a positive example. The maximum score a point can achieve is 0.0, meaning many points may have a score of 0.0.
Target Search: When a target is provided (with or without context), the score consists of two parts: the integer part represents the rank with respect to the context, and the decimal part relates to the distance to the target. The context score for each pair is +1 if the point is closer to a positive example than to a negative example, and -1 otherwise.
