
from awesome-skills-cn178
Implement hybrid search by combining vector similarity and keyword-based retrieval for higher RAG recall.
This skill provides patterns and guidelines for implementing hybrid search systems. It helps agents integrate both semantic (vector) and lexical (keyword) search to ensure high recall, especially when queries involve specific terms, codes, or domain-specific vocabulary that pure vector search might miss.
Use this skill when building Retrieval-Augmented Generation (RAG) systems, developing search engines, or optimizing retrieval for datasets with a mix of natural language and structured identifiers (like product codes or names).
Compatible with any agent capable of reading files and following structural implementation patterns, specifically targeted for Claude and OpenClaw ecosystems.
This skill has not been reviewed by our automated audit pipeline yet.
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