Hybrid Search Implementation
Combines vector and keyword search to retrieve comprehensive results, enhancing information discovery accuracy.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add hybrid-search-implementation npx -- -y @trustedskills/hybrid-search-implementation
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"hybrid-search-implementation": {
"command": "npx",
"args": [
"-y",
"@trustedskills/hybrid-search-implementation"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The hybrid-search-implementation skill enables AI agents to combine multiple search strategies, such as keyword-based and semantic search, for more accurate and comprehensive results. It allows agents to dynamically select or blend different search methods depending on context, improving efficiency in information retrieval tasks.
When to use it
- When searching through unstructured data sources like documents or web pages where traditional keyword searches may miss relevant content.
- In scenarios requiring both speed and precision, such as customer support systems that need to quickly find the most relevant answers from a knowledge base.
- For applications that require contextual understanding of queries, such as chatbots handling complex user questions.
Key capabilities
- Integration of multiple search algorithms into one unified system
- Dynamic selection between keyword-based and semantic search methods
- Improved accuracy in retrieving relevant information
Example prompts
- "Find the most relevant documents about AI ethics using both keywords and context."
- "Combine semantic and keyword searches to locate recent articles on climate change."
- "Use hybrid search to find the best answer for the user’s question from our knowledge base."
Tips & gotchas
- Ensure that all data sources are properly indexed and formatted for optimal performance.
- Hybrid search may require more computational resources compared to single-method approaches, so consider system limitations when deploying.
Tags
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