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
This commit is contained in:
Tony Kipkemboi
2025-09-05 17:40:11 -04:00
committed by GitHub
parent 99b79ab20d
commit 1a1bb0ca3d
557 changed files with 6448 additions and 86 deletions

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title: MongoDB Vector Search Tool
description: The `MongoDBVectorSearchTool` performs vector search on MongoDB Atlas with optional indexing helpers.
icon: "leaf"
mode: "wide"
---
# `MongoDBVectorSearchTool`

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title: MySQL RAG Search
description: The `MySQLSearchTool` is designed to search MySQL databases and return the most relevant results.
icon: database
mode: "wide"
---
## Overview

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title: NL2SQL Tool
description: The `NL2SQLTool` is designed to convert natural language to SQL queries.
icon: language
mode: "wide"
---
## Overview

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title: "Overview"
description: "Connect to databases, vector stores, and data warehouses for comprehensive data access"
icon: "face-smile"
mode: "wide"
---
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
description: The `PGSearchTool` is designed to search PostgreSQL databases and return the most relevant results.
icon: elephant
mode: "wide"
---
## Overview

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title: 'Qdrant Vector Search Tool'
description: 'Semantic search capabilities for CrewAI agents using Qdrant vector database'
icon: vector-square
mode: "wide"
---
## Overview

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title: SingleStore Search Tool
description: The `SingleStoreSearchTool` safely executes SELECT/SHOW queries on SingleStore with pooling.
icon: circle
mode: "wide"
---
# `SingleStoreSearchTool`

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title: Snowflake Search Tool
description: The `SnowflakeSearchTool` enables CrewAI agents to execute SQL queries and perform semantic search on Snowflake data warehouses.
icon: snowflake
mode: "wide"
---
# `SnowflakeSearchTool`

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title: Weaviate Vector Search
description: The `WeaviateVectorSearchTool` is designed to search a Weaviate vector database for semantically similar documents using hybrid search.
icon: network-wired
mode: "wide"
---
## Overview