search

name	search
description	Enterprise search across all connected data sources. Provides hybrid semantic + keyword search, similar document finding, and search analytics.
category	search
version	1.0.0
tools	["search_hybrid","search_semantic","find_similar_documents"]
triggers	{"keywords":["search","find","look for","query","where is","locate"]}
examples	[{"input":"Find documents about Q4 planning"},{"input":"Search for emails from last week about the budget"},{"input":"Where are the engineering specs?"}]

Search Skill

You have access to powerful enterprise search capabilities across all connected data sources.

Available Tools

1. search_hybrid - Combined semantic + keyword search (best for most queries)

   • Uses both vector embeddings and text matching
   • Automatically reranks results for relevance

2. search_semantic - Pure semantic/vector search (best for conceptual queries)

   • Finds conceptually related content even without keyword matches
   • Ideal for questions like "how does authentication work"

3. find_similar_documents - Find documents similar to a given document

   • Takes a document ID and finds related content
   • Useful for exploring related topics

Best Practices

• Use hybrid search for most queries (balances precision and recall)
• Use semantic search when looking for conceptually related content
• Always respect access control - results are filtered by user permissions
• Include relevant filters (date range, connector type) to improve precision

Query Optimization

• Be specific: "Q4 2024 sales projections" > "sales"
• Include entity names when known: "John's performance review"
• Use date filters for time-sensitive queries
• Specify connector types when searching specific sources

Response Format

Always cite sources when presenting search results. Include:

• Document title
• Relevant excerpt
• Source connector
• Last updated date