groq/groq-api-cookbook

groq-api-cookbook

What it solves

The Groq API Cookbook provides a centralized resource for developers to learn how to integrate and build applications using the Groq API. It eliminates the guesswork in implementing common AI features by providing ready-to-use code samples and step-by-step tutorials.

How it works

This repository is a collection of practical tutorials and sample code covering various AI development tasks. Developers can browse specific categories—such as tool use, RAG, or multi-agent systems—to find implementation patterns, framework integrations, and best practices. Each tutorial includes the necessary logic to connect with the Groq API, which requires a free API key to execute.

Who it’s for

This cookbook is designed for software developers and AI engineers who want to build applications using Groq’s inference capabilities. It is suitable for those looking to implement everything from simple conversational chatbots to complex multi-agent systems and RAG pipelines.

Highlights

  • Comprehensive tutorials for function calling, including SQL queries and stock market data parsing.
  • Extensive support for Model Context Protocol (MCP) to enable web browsing, research, and data extraction.
  • Practical guides for Retrieval-Augmented Generation (RAG) using tools like LangChain and Pinecone.
  • Examples for building multi-agent systems using frameworks like CrewAI and Langroid.
  • Built-in guidance for observability, evaluation, and safety guardrails like Llama Guard.

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