3. Decompose into Sub-Queries

For each available source, create a targeted sub-query using that source's native search syntax:

~~chat:

• Use available search and read tools for your chat platform
• Translate filters: from: maps to sender, in: maps to channel/room, dates map to time range filters
• Use natural language queries for semantic search when appropriate
• Use keyword queries for exact matches

~~email:

• Use available email search tools
• Translate filters: from: maps to sender, dates map to time range filters
• Map type: to attachment filters or subject-line searches as appropriate

~~cloud storage:

• Use available file search tools
• Translate to file query syntax: name contains, full text contains, modified date, file type
• Consider both file names and content

~~project tracker:

• Use available task search or typeahead tools
• Map to task text search, assignee filters, date filters, project filters

~~CRM:

• Use available CRM query tools
• Search across Account, Contact, Opportunity, and other relevant objects

~~knowledge base:

• Use semantic search for conceptual questions
• Use keyword search for exact matches

4. Execute Searches in Parallel

Run all sub-queries simultaneously across available sources. Do not wait for one source before searching another.

For each source:

• Execute the translated query
• Capture results with metadata (timestamps, authors, links, source type)
• Note any sources that fail or return errors — do not let one failure block others

5. Rank and Deduplicate Results

Deduplication:

• Identify the same information appearing across sources (e.g., a decision discussed in ~~chat AND confirmed via email)
• Group related results together rather than showing duplicates
• Prefer the most authoritative or complete version

Ranking factors:

• Relevance: How well does the result match the query intent?
• Freshness: More recent results rank higher for status/decision queries
• Authority: Official docs > wiki > chat messages for factual questions; conversations > docs for "what did we discuss" queries
• Completeness: Results with more context rank higher

6. Present Unified Results

…

customer-research

围绕客户问题进行多来源调研与溯源，快速整理背景并支持准确回复。

search-strategy

将复杂问题拆解为多源检索策略，并汇总高相关结果与备选路径。