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* docs: Fix major memory system documentation issues - Remove misleading deprecation warnings, fix confusing comments, clearly separate three memory approaches, provide accurate examples that match implementation * fix: Correct broken image paths in README - Update crewai_logo.png and asset.png paths to point to docs/images/ directory instead of docs/ directly * docs: Add system prompt transparency and customization guide - Add 'Understanding Default System Instructions' section to address black-box concerns - Document what CrewAI automatically injects into prompts - Provide code examples to inspect complete system prompts - Show 3 methods to override default instructions - Include observability integration examples with Langfuse - Add best practices for production prompt management * docs: Fix implementation accuracy issues in memory documentation - Fix Ollama embedding URL parameter and remove unsupported Cohere input_type parameter * docs: Reference observability docs instead of showing specific tool examples * docs: Reorganize knowledge documentation for better developer experience - Move quickstart examples right after overview for immediate hands-on experience - Create logical learning progression: basics → configuration → advanced → troubleshooting - Add comprehensive agent vs crew knowledge guide with working examples - Consolidate debugging and troubleshooting in dedicated section - Organize best practices by topic in accordion format - Improve content flow from simple concepts to advanced features - Ensure all examples are grounded in actual codebase implementation * docs: enhance custom LLM documentation with comprehensive examples and accurate imports * docs: reorganize observability tools into dedicated section with comprehensive overview and improved navigation * docs: rename how-to section to learn and add comprehensive overview page * docs: finalize documentation reorganization and update navigation labels * docs: enhance README with comprehensive badges, navigation links, and getting started video
64 lines
2.1 KiB
Plaintext
64 lines
2.1 KiB
Plaintext
---
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title: "Overview"
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description: "Leverage AI services, generate images, process vision, and build intelligent systems"
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icon: "face-smile"
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---
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These tools integrate with AI and machine learning services to enhance your agents with advanced capabilities like image generation, vision processing, and intelligent code execution.
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## **Available Tools**
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<CardGroup cols={2}>
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<Card title="DALL-E Tool" icon="image" href="/tools/ai-ml/dalletool">
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Generate AI images using OpenAI's DALL-E model.
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</Card>
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<Card title="Vision Tool" icon="eye" href="/tools/ai-ml/visiontool">
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Process and analyze images with computer vision capabilities.
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</Card>
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<Card title="AI Mind Tool" icon="brain" href="/tools/ai-ml/aimindtool">
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Advanced AI reasoning and decision-making capabilities.
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</Card>
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<Card title="LlamaIndex Tool" icon="llama" href="/tools/ai-ml/llamaindextool">
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Build knowledge bases and retrieval systems with LlamaIndex.
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</Card>
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<Card title="LangChain Tool" icon="link" href="/tools/ai-ml/langchaintool">
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Integrate with LangChain for complex AI workflows.
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</Card>
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<Card title="RAG Tool" icon="database" href="/tools/ai-ml/ragtool">
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Implement Retrieval-Augmented Generation systems.
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</Card>
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<Card title="Code Interpreter Tool" icon="code" href="/tools/ai-ml/codeinterpretertool">
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Execute Python code and perform data analysis.
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</Card>
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</CardGroup>
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## **Common Use Cases**
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- **Content Generation**: Create images, text, and multimedia content
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- **Data Analysis**: Execute code and analyze complex datasets
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- **Knowledge Systems**: Build RAG systems and intelligent databases
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- **Computer Vision**: Process and understand visual content
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- **AI Safety**: Implement content moderation and safety checks
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```python
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from crewai_tools import DallETool, VisionTool, CodeInterpreterTool
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# Create AI tools
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image_generator = DallETool()
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vision_processor = VisionTool()
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code_executor = CodeInterpreterTool()
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# Add to your agent
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agent = Agent(
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role="AI Specialist",
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tools=[image_generator, vision_processor, code_executor],
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goal="Create and analyze content using AI capabilities"
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) |