hybrid-lexical-semantic

What problem does it solve?

Combines keyword and semantic search to improve retrieval quality by fusing BM25 lexical relevance with vector similarity.

Core Features & Use Cases

• Fusion of BM25 lexical relevance and vector-based ranking for documents, products, and knowledge bases.
• Supports high-precision retrieval in enterprise search scenarios with noisy text or multi-language content.
• Use Case: Imagine a knowledge base where users search for policies and related documents and want both exact term matches and semantic results.

Quick Start

Run the hybrid search query against your documents table to retrieve top results by fusing BM25 and vector similarity.