Module feedback_loop 

Semantic Feedback Loop — relevance feedback collection and query re-ranking.

Collects explicit and implicit relevance signals from users and uses them to adjust future search rankings through query expansion and score boosting.

Structs

BoostRecord

Cumulative boost information for a single result document.

FeedbackEntry

A single feedback record submitted by a user for a query–document pair.

FeedbackLoopStats

Aggregate statistics across all feedback entries in the loop.

FeedbackStats

Aggregate statistics across all queries and signals.

QueryFeedback

All feedback signals collected for a single query.

QueryFeedbackSummary

Aggregated feedback statistics for a single query.

SemanticFeedbackLoop

Core feedback-loop engine.

Enums

FeedbackSignal

A single relevance signal emitted by a user (explicit or implicit).

FeedbackType

Classification of a search result’s relevance as judged by a user.

Functions

fnv1a_64

Compute the FNV-1a 64-bit hash of an arbitrary byte slice.

query_id_for

Compute the query-id (FNV-1a hash) for an arbitrary query string.