fix(hybrid-query): use ADDSCORES to enable proper BM25 text scoring#16
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fix(hybrid-query): use ADDSCORES to enable proper BM25 text scoring#16
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Previously, HybridQuery hardcoded text_score to 1.0, making the hybrid formula effectively ignore text relevance. This was an incomplete port from the Python RedisVL implementation. Changes: - Add aggregation.addScores() to enable the @__score field in FT.AGGREGATE - Use @__score (the actual BM25/text search score) instead of hardcoded 1.0 - Update Javadoc to document Redis 7.4.0+ requirement for ADDSCORES - Update formula documentation to clarify the scoring mechanism The hybrid scoring formula now correctly applies: hybrid_score = (1 - alpha) * text_score + alpha * vector_similarity Where text_score is the actual BM25 score from Redis, not a constant. Requires: Redis 7.4.0+ Reference: Python redisvl/query/aggregate.py lines 168-173
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Previously, HybridQuery hardcoded text_score to 1.0, making the hybrid formula effectively ignore text relevance. This was an incomplete port from the Python RedisVL implementation.
Changes:
The hybrid scoring formula now correctly applies:
hybrid_score = (1 - alpha) * text_score + alpha * vector_similarity
Where text_score is the actual BM25 score from Redis, not a constant.
Requires: Redis 7.4.0+
Reference: Python redisvl/query/aggregate.py lines 168-173