docs.laragent.ai

# Official LarAgent Documentation ## Docs - [Development](https://docs.laragent.ai/guides/development.md): Contribute to LarAgent development - [Guides Introduction](https://docs.laragent.ai/guides/introduction.md): Comprehensive guides to help you build powerful AI agents with LarAgent. From basic implementations to advanced patterns and real-world use cases. - [Retrieval-as-Tool RAG](https://docs.laragent.ai/guides/rag/retrieval-as-tool.md): Learn how to implement advanced RAG by giving your agent tools to retrieve information on-demand from both structured databases and document collections. - [Vector-Based RAG](https://docs.laragent.ai/guides/rag/vector-based.md): Learn how to implement traditional RAG using vector embeddings to build a knowledge-enhanced customer support agent. - [Upgrade to v1.0](https://docs.laragent.ai/guides/upgrade-to-v1.md): Complete migration guide from LarAgent v0.8 to v1.0 with step-by-step instructions - [Introduction](https://docs.laragent.ai/introduction.md) - [Quickstart](https://docs.laragent.ai/quickstart.md): Get started with LarAgent in minutes - [Expose Agents via API](https://docs.laragent.ai/v1/agents/agent-via-api.md): This document describes the feature introduced in the v0.5 and explains how to expose your agents through an OpenAI-compatible endpoint. - [Create & Configure](https://docs.laragent.ai/v1/agents/creation.md): Learn how to create agent classes and configure their behavior, model settings, and provider connections. - [Agent Hooks](https://docs.laragent.ai/v1/agents/hooks.md): Learn how to use lifecycle events and engine hooks to customize agent behavior - [Supported Providers](https://docs.laragent.ai/v1/agents/llm-drivers.md): Connect to different AI providers like OpenAI, Anthropic, Gemini, and more while maintaining a consistent API across your application. - [What are agents?](https://docs.laragent.ai/v1/agents/overview.md): Agents are the core building blocks of LarAgent, representing AI-powered assistan