# Fast Learning by Video

## Video Tutorials

{% embed url="<https://www.youtube.com/watch?v=oSA1bP_j41w>" %}

{% embed url="<https://www.youtube.com/watch?v=lI8xE-uIek8>" %}

{% embed url="<https://www.youtube.com/watch?v=ymSUOIxjoeM>" %}

{% embed url="<https://www.youtube.com/watch?v=q6GqgPMUJFY>" %}

## Agent Development

[PHP, the Dark Horse No One Saw Coming In AI Agents development](https://inspector.dev/php-the-dark-horse-no-one-saw-coming-in-ai-agents-development/)

[LangChain alternative for PHP developers](https://inspector.dev/langchain-alternative-for-php-developers/)

[System Prompt for AI Agents In PHP](https://inspector.dev/system-prompt-for-ai-agents-in-php/)

[AI Agents Memory And Context Window In PHP](https://inspector.dev/ai-agents-memory-and-context-window-in-php/)

[Create AI Agents In PHP Powered By Google Gemini LLMs](https://inspector.dev/create-ai-agents-in-php-powered-by-google-gemini-llms/)

## RAG (Retrieval Augmented Generation)

[How to Create a RAG Agent with Neuron ADK for PHP](https://inspector.dev/how-to-create-a-rag-agent-with-neuron-adk-for-php/)

[Vector Store & AI Agents – Beyond The Traditional Data Storage](https://inspector.dev/vector-store-ai-agents-beyond-the-traditional-data-storage/)

[Improve PHP AI Agents output quality with Rerankers](https://inspector.dev/improve-php-ai-agents-output-quality-with-rerankers/)

## Tools & Toolkits

[Introducing Toolkits: Composable AI Agent Capabilities In PHP](https://inspector.dev/introducing-toolkits-composable-ai-agent-capabilities-in-php/)

[Create A Data Analyst Agent In PHP – NeuronAI MySQL Toolkit](https://inspector.dev/mysql-ai-toolkit-bringing-intelligence-to-your-database-layer-in-php/)

[Introducing Web Search Capabilities For PHP AI Agents](https://inspector.dev/introducing-web-search-capabilities-for-php-ai-agents/)

[Introducing Vision Capabilities for PHP AI Agents](https://inspector.dev/introducing-vision-capabilities-for-php-ai-agents/)

[AI Agents in PHP with MCP (Model Context Protocol)](https://inspector.dev/ai-agents-in-php-with-mcp-model-context-protocol/)

## Workflow

[Introducing NeuronAI Workflow: The future of agentic PHP applications](https://inspector.dev/introducing-neuronai-workflow-the-future-of-agentic-php-applications/)

## E-Book

The gap between modern agentic technologies and traditional PHP development has been widening in recent years. While Python developers enjoy a wealth of libraries and frameworks to create AI Agents, PHP developers have often been left wondering how they can participate in this technological revolution without completely retooling their skillsets or rebuilding their applications from scratch.

NeuronAI changes all that.

As a PHP developer, you now stand at a unique intersection of technologies. For years, PHP has powered a substantial portion of the web. Now, with Neuron AI, you can acquire the ability to infuse these web experiences with artificial intelligence, without leaving the language and ecosystem you know and love.

Neuron is the most advanced PHP framework to build AI driven features into existing PHP applications. This book serves as both an introduction to AI Agents concepts for developers and a comprehensive guide to Neuron Agent Development Kit.

Get it from [Amazon](https://www.amazon.com/dp/B0F1YX8KJB) or [Google Play](https://play.google.com/store/books/details?pcampaignid=books_read_action\&id=agJPEQAAQBAJ\&pli=1).

<figure><img src="/files/wGFIH6pUqKMfsAUF56ZF" alt="" width="375"><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.neuron-ai.dev/v1/getting-started/fast-learning-by-video.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.