Setup & Configuration Guides

Guides for setting up and configuring AgenticGoKit components.

Available Guides

LLM Providers

Configure different Large Language Model providers including OpenAI, Anthropic, and local models.

When to use: Setting up your first agent or switching LLM providers.

Vector Databases

Set up vector storage systems for Retrieval-Augmented Generation (RAG) including pgvector and Weaviate.

When to use: Building agents that need to search through documents or knowledge bases.

MCP Tools

Integrate Model Context Protocol tools to extend agent capabilities with external services.

When to use: Adding specific tools like web search, file operations, or API integrations.

Common Setup Patterns

Most AgenticGoKit applications follow this setup pattern:

1. Choose your LLM provider - Start with LLM Providers
2. Configure memory (optional) - Add Vector Databases if needed
3. Add tools (optional) - Integrate MCP Tools for extended capabilities
4. Test your configuration - Use Testing Agents

Configuration Files

AgenticGoKit uses TOML configuration files (agentflow.toml) for most settings. Each guide shows you how to configure the relevant sections.

Next Steps

After setup, explore:

• Development Guides for building and testing
• Deployment Guides for production deployment
• Getting Started Tutorials for hands-on learning