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docs: Docs updates (#3459)
* docs(cli): document device-code login and config reset guidance; renumber sections * docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections) * docs: Fix webhook documentation to include meta dict in all webhook payloads - Add note explaining that meta objects from kickoff requests are included in all webhook payloads - Update webhook examples to show proper payload structure including meta field - Fix webhook examples to match actual API implementation - Apply changes to English, Korean, and Portuguese documentation Resolves the documentation gap where meta dict passing to webhooks was not documented despite being implemented in the API. * WIP: CrewAI docs theme, changelog, GEO, localization * docs(cli): fix merge markers; ensure mode: "wide"; convert ASCII tables to Markdown (en/pt-BR/ko) * docs: add group icons across locales; split Automation/Integrations; update tools overviews and links
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title: MongoDB Vector Search Tool
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description: The `MongoDBVectorSearchTool` performs vector search on MongoDB Atlas with optional indexing helpers.
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icon: "leaf"
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mode: "wide"
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---
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# `MongoDBVectorSearchTool`
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title: MySQL RAG Search
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description: The `MySQLSearchTool` is designed to search MySQL databases and return the most relevant results.
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icon: database
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mode: "wide"
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---
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## Overview
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title: NL2SQL Tool
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description: The `NL2SQLTool` is designed to convert natural language to SQL queries.
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icon: language
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mode: "wide"
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---
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## Overview
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title: "Overview"
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description: "Connect to databases, vector stores, and data warehouses for comprehensive data access"
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icon: "face-smile"
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mode: "wide"
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---
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These tools enable your agents to interact with various database systems, from traditional SQL databases to modern vector stores and data warehouses.
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title: PG RAG Search
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description: The `PGSearchTool` is designed to search PostgreSQL databases and return the most relevant results.
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icon: elephant
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mode: "wide"
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---
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## Overview
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title: 'Qdrant Vector Search Tool'
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description: 'Semantic search capabilities for CrewAI agents using Qdrant vector database'
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icon: vector-square
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mode: "wide"
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---
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## Overview
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title: SingleStore Search Tool
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description: The `SingleStoreSearchTool` safely executes SELECT/SHOW queries on SingleStore with pooling.
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icon: circle
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mode: "wide"
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---
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# `SingleStoreSearchTool`
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title: Snowflake Search Tool
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description: The `SnowflakeSearchTool` enables CrewAI agents to execute SQL queries and perform semantic search on Snowflake data warehouses.
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icon: snowflake
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mode: "wide"
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---
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# `SnowflakeSearchTool`
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title: Weaviate Vector Search
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description: The `WeaviateVectorSearchTool` is designed to search a Weaviate vector database for semantically similar documents using hybrid search.
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icon: network-wired
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mode: "wide"
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---
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## Overview
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