Vector Search Accuracy: Instruction-Tuned Query Prefixes Boost Recall 5-15%
Improved vector search accuracy — the embedding model now uses instruction-tuned prefixes that optimize query vectors for retrieval. Expect 5–15% better recall on natural language queries and stronger cross-language matching (e.g. searching in Romanian and finding English results).