airweave

---
name: airweave
description: Context retrieval layer for AI agents across users' applications. Search and retrieve context from Airweave collections. Airweave indexes and syncs data from user applications to enable optimal context retrieval by AI agents. Supports semantic, keyword, and agentic search. Use when users ask about their data in connected apps (Slack, GitHub, Notion, Jira, Confluence, Google Drive, Salesforce, Linear, SharePoint, Stripe, etc.), need to find documents or information from their workspace, want answers based on their company data, or need you to check app data for context to complete a task.
metadata: {"clawdbot":{"requires":{"bins":["python3"],"env":["AIRWEAVE_API_KEY","AIRWEAVE_COLLECTION_ID"]},"primaryEnv":"AIRWEAVE_API_KEY"}}
---

# Airweave Search

Search and retrieve context from Airweave collections using the search script at `{baseDir}/scripts/search.py`.

## When to Search

**Search when the user:**
- Asks about data in their connected apps ("What did we discuss in Slack about...")
- Needs to find documents, messages, issues, or records
- Asks factual questions about their workspace ("Who is responsible for...", "What's our policy on...")
- References specific tools by name ("in Notion", "on GitHub", "in Jira")
- Needs recent information you don't have in your training
- Needs you to check app data for context ("check our Notion docs", "look at the Jira ticket")

**Don't search when:**
- User asks general knowledge questions (use your training)
- User already provided all needed context in the conversation
- The question is about Airweave itself, not data within it

## Query Formulation

Turn user intent into effective search queries:

| User Says | Search Query |
|-----------|--------------|
| "What did Sarah say about the launch?" | "Sarah product launch" |
| "Find the API documentation" | "API documentation" |
| "Any bugs reported this week?" | "bug report issues" |
| "What's our refund policy?" | "refund policy customer" |

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