Documentation

Technical guides and documentation for building AI solutions with Claude API, MCP integrations, and RAG systems.

Getting Started

Introduction to AI Agent Development

Overview of AI agents and what you can build with Claude

Quick Start: Your First Claude Integration

Get up and running with Claude API in 5 minutes

Understanding MCP

What is Model Context Protocol and why it matters

RAG Fundamentals

How retrieval-augmented generation works

AI Agent Development

Designing Multi-Agent Systems

Architecture patterns for orchestrating multiple AI agents

Tool Use and Function Calling

Enabling Claude to call your APIs and tools

Human-in-the-Loop Patterns

When and how to involve humans in agent workflows

Error Handling Strategies

Building robust AI systems with proper error handling

MCP Development

Building Your First MCP Server

Step-by-step guide to creating an MCP server

MCP Tool Definitions

How to define tools that Claude can invoke

Database Connectors

Connecting MCP to PostgreSQL, MongoDB, and more

Authentication & Security

OAuth, API keys, and secure credential handling

RAG Systems

Document Ingestion Pipeline

Processing and chunking documents for RAG

Vector Database Selection

Choosing between Pinecone, pgvector, Weaviate

Embedding Models

Selecting and configuring embedding models

Hybrid Retrieval Strategies

Combining dense and sparse vectors for better results

Business Automation

Workflow Automation Patterns

Common patterns for automating business processes

Integration with Make.com

Connecting Claude to 1000+ apps via Make

Scheduled AI Workflows

Time-based triggers and recurring automation

Content Generation Pipelines

Automating content creation with Claude

Need Help?

Can't find what you're looking for? Our team is here to help. Reach out and we'll point you in the right direction.

Contact Support Technical Docs