hybrid-search

What problem does it solve?

This skill addresses the need to retrieve results that are both precisely matched on keywords and meaningfully related through semantics, eliminating the trade-off between recall and precision.

Core Features & Use Cases

• Unified hybrid ranking that fuses BM25-like keyword matching with vector-based semantic similarity.
• Use cases include product catalogs with model numbers, legal or technical documents with domain terms, and knowledge bases where exact terms coexist with conceptual relevance.

Quick Start

Configure a Milvus-based hybrid search by combining dense vector embeddings with BM25-based sparse representations, then run a sample query to observe fused results.