The Complete Toolkit For Your AI Journey in PHP

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Portable Agents

The Agent entity is designed to be extended to encapsulate all the components it needs. You can attach Tools, Vector Stores, Embedding providers and more, to complete complex tasks.

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Retrieval-Augmented Generation (RAG)

Create RAG systems to use the powerful capabilities of LLMs on your own private data. Your agents can accurately answer questions about your internal company's data.

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Observability

Neuron is designed with built-in observability features, so you can monitor AI agents were running to help you move from prototype to production with confidence.

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Give Agents the ability to interact with your application context and services

Tools enable LLMs to go beyond generating text by facilitating interaction with your application services, or external APIs.

Think about Tools as special functions that your AI agent can use when it needs to perform specific tasks. They let you extend your Agent's capabilities by giving it access to specific functions it can call.

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Execute multi turns conversations thanks to the internal Agent memory

Neuron AI has a built-in system to manage the memory of a chat session you perform with the agent.

In many Q&A applications, you can have a back-and-forth conversation with the LLM, meaning the application needs some sort of "memory" of past questions and answers, and some logic for incorporating those into its current thinking.

You don't have to worry about that, Neuron Agents already remember past messages.

Learn about Memory
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You will learn how to approach AI systems in the right way, understand the most important technical concepts behind LLMs, and how to start implementing your AI solutions into your PHP application with the Neuron AI framework.

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