# Neuron

## Neuron - v1

- [Introduction](https://docs.neuron-ai.dev/v1/getting-started/readme.md): Learn what NeuronAI is and what you can do with it.
- [Fast Learning by Video](https://docs.neuron-ai.dev/v1/getting-started/fast-learning-by-video.md): Position yourself in the AI Agent era with our extensive tutorials and technical insights into NeuronAI capabilities. Learn from practical examples and real-world use cases.
- [Getting Started](https://docs.neuron-ai.dev/v1/getting-started/getting-started.md): Step by step instructions on how to install NeuronAI in your application and create an Agent.
- [Agent](https://docs.neuron-ai.dev/v1/getting-started/agent.md): Easily implement LLM interactions extending the basic Agent class.
- [Tools](https://docs.neuron-ai.dev/v1/getting-started/tools.md): Give Agents the ability to interact with your application context and services.
- [Streaming](https://docs.neuron-ai.dev/v1/getting-started/streaming.md): Presenting AI response to your user in real-time.
- [Structured Output](https://docs.neuron-ai.dev/v1/getting-started/structured-output.md): Enforce the Agent output based on the provided schema.
- [Attachments (Documents & Images)](https://docs.neuron-ai.dev/v1/getting-started/attachments-documents-and-images.md): Attach documents and images to your message.
- [RAG](https://docs.neuron-ai.dev/v1/advanced/rag.md): Step by Step guide on how to implement Retrieval-Augmented Generation with Neuron AI framework.
- [MCP Connector](https://docs.neuron-ai.dev/v1/advanced/mcp-connector.md): Connect your agent with Tools provided by MCP (Model Context Protocol) servers.
- [Monitoring & Debugging](https://docs.neuron-ai.dev/v1/advanced/observability.md): Monitor your AI Agents, RAGs, and Workflows in real-time.
- [Error Handling](https://docs.neuron-ai.dev/v1/advanced/error-handling.md): Managing errors fired by your agent.
- [Asynchronous Processing](https://docs.neuron-ai.dev/v1/advanced/asynchronous-processing.md): Execute multiple parallel processes using NeuronAI async interface.
- [AI Provider](https://docs.neuron-ai.dev/v1/components/ai-provider.md): Interact with LLM providers or extend the framework to implement new ones.
- [Chat History & Memory](https://docs.neuron-ai.dev/v1/components/chat-history-and-memory.md): Learn how Neuron AI manage multi turn conversations.
- [Embeddings Provider](https://docs.neuron-ai.dev/v1/components/embeddings-provider.md): Integrate services to transform text into vectors for semantic search.
- [Vector Store](https://docs.neuron-ai.dev/v1/components/vector-store.md): NeuronAI provides you with several ready to use interfaces against several vector databases.
- [Pre/Post Processor](https://docs.neuron-ai.dev/v1/components/pre-post-processor.md): Improve the RAG output by pre/post processing prompts and retrieval results.
- [Data loader](https://docs.neuron-ai.dev/v1/components/data-loader.md): Learn how to create data loader pipelines to feed your RAG applications.
- [Getting Started](https://docs.neuron-ai.dev/v1/workflow/getting-started.md): Guide, moderate, and control your agentic system with human-in-the-loop.
- [Node, Edge & State](https://docs.neuron-ai.dev/v1/workflow/node-edge-and-state.md): Learn how to use the fundamental elements to create your Workflow.
- [Human In The Loop](https://docs.neuron-ai.dev/v1/workflow/human-in-the-loop.md): The key breakthrough is that interruption isn't a bug – it's a feature.
- [Persistence](https://docs.neuron-ai.dev/v1/workflow/persistence.md): Store the workflow State on a persistent memory.

## Neuron - v2

- [Introduction](https://docs.neuron-ai.dev/v2/overview/readme.md): Learn what Neuron is and what you can do with it.
- [Upgrade To v2 From v1](https://docs.neuron-ai.dev/v2/overview/readme/upgrade-to-v2-from-v1.md)
- [Repository Migration](https://docs.neuron-ai.dev/v2/overview/readme/repository-migration.md)
- [Fast Learning by Video](https://docs.neuron-ai.dev/v2/overview/fast-learning-by-video.md): Position yourself in the AI Agent era with our extensive tutorials and technical insights into Neuron capabilities. Learn from practical examples and real-world use cases.
- [Agentic Development](https://docs.neuron-ai.dev/v2/overview/agentic-development.md): Connect the documentation to coding agents for AI Assisted Development
- [Installation](https://docs.neuron-ai.dev/v2/the-basics/getting-started.md): Step by step instructions on how to install Neuron in your application and create an Agent.
- [Agent](https://docs.neuron-ai.dev/v2/the-basics/agent.md): Easily implement LLM interactions extending the basic Agent class.
- [AI Provider](https://docs.neuron-ai.dev/v2/the-basics/ai-provider.md): Interact with LLM providers or extend the framework to implement new ones.
- [Tools & Toolkits](https://docs.neuron-ai.dev/v2/the-basics/tools.md): Give Agents the ability to interact with your application context and services.
- [MCP](https://docs.neuron-ai.dev/v2/the-basics/mcp-connector.md): Connect the tools provided by Model Context Protocol (MCP) servers to your agent.
- [Chat History](https://docs.neuron-ai.dev/v2/the-basics/chat-history-and-memory.md): Learn how Neuron AI manage multi turn conversations.
- [Streaming](https://docs.neuron-ai.dev/v2/the-basics/streaming.md): Presenting AI response to your user in real-time.
- [Structured Output](https://docs.neuron-ai.dev/v2/the-basics/structured-output.md): Enforce the Agent output based on the provided schema.
- [Attachments (Documents & Images)](https://docs.neuron-ai.dev/v2/the-basics/attachments-documents-and-images.md): Attach documents and images to your message.
- [Async](https://docs.neuron-ai.dev/v2/the-basics/asynchronous-processing.md): Execute multiple parallel processes using Neuron async interface.
- [Monitoring & Debugging](https://docs.neuron-ai.dev/v2/the-basics/observability.md): Monitor your AI Agents, RAGs, and Workflows in real-time.
- [Error Handling](https://docs.neuron-ai.dev/v2/the-basics/error-handling.md): Managing errors fired by your agent.
- [Evaluation](https://docs.neuron-ai.dev/v2/the-basics/evaluation.md): Evaluating the output of your agentic system
- [Getting Started](https://docs.neuron-ai.dev/v2/rag/rag.md): Step by Step guide on how to implement Retrieval-Augmented Generation with Neuron framework.
- [Data loader](https://docs.neuron-ai.dev/v2/rag/data-loader.md): Learn how to create data loader pipelines to feed your RAG applications.
- [Embeddings Provider](https://docs.neuron-ai.dev/v2/rag/embeddings-provider.md): Integrate services to transform text into vectors for semantic search.
- [Vector Store](https://docs.neuron-ai.dev/v2/rag/vector-store.md): Neuron provides you with ready to use components to connect your agent to vector databases.
- [Pre/Post Processor](https://docs.neuron-ai.dev/v2/rag/pre-post-processor.md): Improve the RAG output by pre/post processing prompts and retrieval results.
- [Retrieval](https://docs.neuron-ai.dev/v2/rag/retrieval.md): Implement custom retrieval strategies
- [Getting Started](https://docs.neuron-ai.dev/v2/workflow/getting-started.md): Guide, moderate, and control your multi-agent system with human-in-the-loop.
- [Single Step Workflow](https://docs.neuron-ai.dev/v2/workflow/single-step-workflow.md): How to create the first workflow with a single node
- [Multi Step Workflow](https://docs.neuron-ai.dev/v2/workflow/multi-step-workflow.md): Learn how to handle complex execution flow orchestrating the execution of multiple nodes
- [Loops & Branches](https://docs.neuron-ai.dev/v2/workflow/loops-and-branches.md)
- [Managing the State](https://docs.neuron-ai.dev/v2/workflow/managing-the-state.md): Learn how to pass data around the workflow
- [Human In The Loop](https://docs.neuron-ai.dev/v2/workflow/human-in-the-loop.md): The key breakthrough is that interruption isn't a bug – it's a feature.
- [Persistence](https://docs.neuron-ai.dev/v2/workflow/persistence.md): Persist the Workflow State across executions.
- [Streaming](https://docs.neuron-ai.dev/v2/workflow/streaming.md): Stream real -time updates during workflow execution
- [Examples](https://docs.neuron-ai.dev/v2/workflow/examples.md): Learn about the Workflow features through real code examples
- [Testing](https://docs.neuron-ai.dev/v2/resources/testing.md): Fake components to help you test your AI powered system

## Neuron - v3

- [Introduction](https://docs.neuron-ai.dev/overview/readme.md): Learn what Neuron is and what you can do with it.
- [Installation](https://docs.neuron-ai.dev/overview/getting-started.md): Step by step instructions on how to install Neuron in your application and create an Agent.
- [Upgrade](https://docs.neuron-ai.dev/overview/upgrade.md)
- [Video Tutorials](https://docs.neuron-ai.dev/overview/fast-learning-by-video.md): Position yourself in the AI Agent era with our extensive tutorials and technical insights into Neuron capabilities. Learn from practical examples and real-world use cases.
- [AI-Assisted Development](https://docs.neuron-ai.dev/overview/agentic-development.md): Connect the documentation to coding agents for AI Assisted Development
- [Agent](https://docs.neuron-ai.dev/agent/agent.md): Easily implement LLM interactions with built-in memory and tool usage.
- [Messages](https://docs.neuron-ai.dev/agent/messages.md): Unified context unit across AI providers and LLMs.
- [Tools & Toolkits](https://docs.neuron-ai.dev/agent/tools.md): Give Agents the ability to interact with your application context and services.
- [Chat History](https://docs.neuron-ai.dev/agent/chat-history-and-memory.md): Learn how Neuron AI manage multi turn conversations.
- [Streaming](https://docs.neuron-ai.dev/agent/streaming.md): Presenting AI response to your user in real-time.
- [Structured Output](https://docs.neuron-ai.dev/agent/structured-output.md): Enforce the Agent output based on the provided schema.
- [MCP](https://docs.neuron-ai.dev/agent/mcp-connector.md): Connect the tools provided by Model Context Protocol (MCP) servers to your agent.
- [Middleware](https://docs.neuron-ai.dev/agent/middleware.md): Interact with the agent execution flow to customize its behaviour.
- [Async](https://docs.neuron-ai.dev/agent/async.md): Run workflows in an async context.
- [Monitoring & Debugging](https://docs.neuron-ai.dev/agent/observability.md): Monitor your AI Agents, RAGs, and Workflows in real-time.
- [Error Handling](https://docs.neuron-ai.dev/agent/error-handling.md): Managing errors fired by your agent.
- [Evals](https://docs.neuron-ai.dev/agent/evaluation.md): Evaluating the output of your agentic system
- [Testing](https://docs.neuron-ai.dev/agent/testing.md): Fake components to help you test your AI powered system
- [AI Provider](https://docs.neuron-ai.dev/providers/ai-provider.md): Interact with LLM providers or extend the framework to implement new ones.
- [Audio](https://docs.neuron-ai.dev/providers/audio.md): Connect providers specialized in processing Audio to Text and vice-versa
- [Image](https://docs.neuron-ai.dev/providers/image.md): Generate images from text
- [Getting Started](https://docs.neuron-ai.dev/rag/rag.md): Step by Step guide on how to implement Retrieval-Augmented Generation with Neuron framework.
- [Data loader](https://docs.neuron-ai.dev/rag/data-loader.md): Learn how to create data loader pipelines to feed your RAG applications.
- [Embeddings Provider](https://docs.neuron-ai.dev/rag/embeddings-provider.md): Integrate services to transform text into vectors for semantic search.
- [Vector Store](https://docs.neuron-ai.dev/rag/vector-store.md): Neuron provides you with ready to use components to connect your agent to vector databases.
- [Pre/Post Processor](https://docs.neuron-ai.dev/rag/pre-post-processor.md): Improve the RAG output by pre/post processing prompts and retrieval results.
- [Retrieval](https://docs.neuron-ai.dev/rag/retrieval.md): Implement custom retrieval strategies
- [Getting Started](https://docs.neuron-ai.dev/workflow/getting-started.md): Guide, moderate, and control your multi-agent system with human-in-the-loop.
- [Single Step Workflow](https://docs.neuron-ai.dev/workflow/single-step-workflow.md): How to create the first workflow with a single node
- [Multi Step Workflow](https://docs.neuron-ai.dev/workflow/multi-step-workflow.md): Learn how to handle complex execution flow orchestrating the execution of multiple nodes
- [Loops & Branches](https://docs.neuron-ai.dev/workflow/loops-and-branches.md)
- [Managing the State](https://docs.neuron-ai.dev/workflow/managing-the-state.md): Learn how to pass data around the workflow
- [Interruption](https://docs.neuron-ai.dev/workflow/human-in-the-loop.md): The key breakthrough is that interruption isn't a bug, it's a feature.
- [Persistence](https://docs.neuron-ai.dev/workflow/persistence.md): Persist the Workflow State across executions.
- [Streaming](https://docs.neuron-ai.dev/workflow/streaming.md): Stream real -time updates during workflow execution
- [Middleware](https://docs.neuron-ai.dev/workflow/middleware.md): Control and customize agent execution at every step
- [Tips & Tricks](https://docs.neuron-ai.dev/resources/examples.md): Overcome bottlenecks, and learn about the Workflow features through real code examples