docs: Add transparency features for prompts and memory systems (#2902)

* 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

docs/learn/dalle-image-generation.mdx

@@ -0,0 +1,73 @@
+---
+title: "Image Generation with DALL-E"
+description: "Learn how to use DALL-E for AI-powered image generation in your CrewAI projects"
+icon: "image"
+---
+
+CrewAI supports integration with OpenAI's DALL-E, allowing your AI agents to generate images as part of their tasks. This guide will walk you through how to set up and use the DALL-E tool in your CrewAI projects.
+
+## Prerequisites
+
+- crewAI installed (latest version)
+- OpenAI API key with access to DALL-E
+
+## Setting Up the DALL-E Tool
+
+<Steps>
+    <Step title="Import the DALL-E tool">
+        ```python
+        from crewai_tools import DallETool
+        ```
+    </Step>
+
+    <Step title="Add the DALL-E tool to your agent configuration">
+        ```python
+        @agent
+        def researcher(self) -> Agent:
+            return Agent(
+                config=self.agents_config['researcher'],
+                tools=[SerperDevTool(), DallETool()],  # Add DallETool to the list of tools
+                allow_delegation=False,
+                verbose=True
+            )
+        ```
+    </Step>
+</Steps>
+
+## Using the DALL-E Tool
+
+Once you've added the DALL-E tool to your agent, it can generate images based on text prompts. The tool will return a URL to the generated image, which can be used in the agent's output or passed to other agents for further processing.
+
+### Example Agent Configuration
+
+```yaml
+role: >
+    LinkedIn Profile Senior Data Researcher
+goal: >
+    Uncover detailed LinkedIn profiles based on provided name {name} and domain {domain}
+    Generate a Dall-e image based on domain {domain}
+backstory: >
+    You're a seasoned researcher with a knack for uncovering the most relevant LinkedIn profiles.
+    Known for your ability to navigate LinkedIn efficiently, you excel at gathering and presenting
+    professional information clearly and concisely.
+```
+
+### Expected Output
+
+The agent with the DALL-E tool will be able to generate the image and provide a URL in its response. You can then download the image.
+
+<Frame>
+    <img src="/images/enterprise/dall-e-image.png" alt="DALL-E Image" />
+</Frame>
+
+## Best Practices
+
+1. **Be specific in your image generation prompts** to get the best results.
+2. **Consider generation time** - Image generation can take some time, so factor this into your task planning.
+3. **Follow usage policies** - Always comply with OpenAI's usage policies when generating images.
+
+## Troubleshooting
+
+1. **Check API access** - Ensure your OpenAI API key has access to DALL-E.
+2. **Version compatibility** - Check that you're using the latest version of crewAI and crewai-tools.
+3. **Tool configuration** - Verify that the DALL-E tool is correctly added to the agent's tool list.