Getting Started • Tutorials • Questions • Bug Reporting • Contributing
This repository contains a collection of tutorials, sample code, and guidelines for accomplishing tasks with Groq API. To run these examples, you'll need a Groq API key that you can get for free by creating an account here. Are you ready to cook? 🚀
- Groq Quickstart Conversational Chatbot: Build your first conversational chatbot with Groq.
- Chat History Management: Learn how to manage and persist chat history in your AI applications.
- Batch Processing: Process hundreds of requests asynchronously using Groq's batch APIs.
- eCommerce Function Calling: Learn how to use function calling with LLMs to create orders and get prices on products.
- SQL Function Calling: Learn how to use function calling with LLMs to run SQL queries.
- Stock Market Function Calling (Tutorial): Learn how to use function calling with LLMs to parse stock market data.
- Stock Market Function Calling (Replit): Replit-ready example for the above stock tutorial.
- Parallel Tool Use: Learn how to equip your LLM to use multiple tools at the same time.
- Text to SQL with JSON Mode: Convert natural language to SQL queries using JSON mode.
- Verified SQL Function Calling: Learn how to build verified and validated SQL queries with function calling.
- Box MCP with Groq: Learn how to securely access and interact with private Box content using Groq inference + Box's hosted MCP server.
- Browser Use MCP: Equip models via Groq API with Browser Use's tools to enable autonomous website browsing, information extraction, and web pages interaction.
- BrowserBase MCP: Equip models via Groq API with Browserbase's MCP server for web automation using natural language commands, including tools for web interaction and data extraction.
- Firecrawl MCP: Equip GPT-OSS 120B via Groq API with enterprise-grade web scraping capabilities, intelligent data extraction, structured parsing, and deep web research.
- Exa MCP: Use Exa's web search and web crawling tools to get real-time information from the internet. Find relevant search results, extract data from websites, and run deep-research.
- E2B MCP Gateway: Learn how to use E2B's MCP gateway to run multiple MCP servers (Exa + Browserbase) together in an isolated sandbox for AI research workflows.
- Tavily MCP with Groq: Build a real-time research agent with the Tavily MCP and Groq API.
- HuggingFace MCP with Groq: Retrieve real-time HuggingFace model data with the HuggingFace MCP and Groq API.
- Parallel MCP with Groq: Real-time search with access to live data with the Parallel MCP and Groq API (along with a performance comparison against OpenAI).
- Benchmarking RAG with Langchain: Learn how to benchmark a RAG pipeline with LangChain.
- Presidential Speeches RAG: Learn how to use RAG to find relevant presidential speeches from input text.
- Presidential Speeches RAG with Pinecone: Learn how to implement RAG using Pinecone as your vector database.
- Whisper and RAG: Learn how to use a speech-to-text model and RAG to semantically search through podcast audio.
- Chat with Website: Learn how to build a chatbot that can answer questions about website content using RAG.
- JSON Mode with Health Data: Learn how to use JSON mode to generate structured health analytics from raw data.
- Structured Output with Instructor: Learn how to use the Instructor library to create structured output with tools and objects.
- Batch Image Processing: Learn how to process and analyze thousands of images using Llama 4 Maverick's multimodal capabilities with Groq Batch APIs.
- Multimodal Image Processing: Process and analyze images using vision models.
- Audio Chunking: Learn how to efficiently chunk and process audio files with Whisper, a speech-to-text model.
- Instagram Reel Subtitler: Learn how to automatically and instantly generate subtitles for Instagram reels using a speech-to-text model.
- Mixture of Agents: Learn how to create a mixture-of-agents system powered by Groq.
- Game Recap with MoA: Learn how to use a mixture-of-agents approach to generate comprehensive MLB game recaps.
- CrewAI Mixture of Agents: Learn how to build a mixture of agents application with CrewAI.
- CrewAI Agents (Replit): Replit-ready CrewAI agent example.
- Langroid LLM Agents: Learn how to create a multi-agent system using Langroid and Groq.
- Composio Newsletter Summarizer Agent: Build an agent that summarizes newsletters using Composio and Groq.
- aiXplain Agents: Build intelligent agents using aiXplain's platform with Groq.
- Minions with Groq: Create lightweight agent workers (minions) for distributed tasks.
- Gradio with Groq: Learn how to build a full-stack application with Gradio powered by Groq.
- Streamlit with Groq: Learn how to build a full-stack chat application with Streamlit powered by Groq.
- LangChain Conversational Chatbot: Build conversational chatbots using LangChain and Groq.
- LlamaIndex Conversational Chatbot: Create chat applications using LlamaIndex with Groq.
- Portkey with Groq: Learn how to integrate Portkey for AI observability into Groq usage.
- Portkey: OpenAI to Groq Migration: Learn how to seamlessly migrate from OpenAI to Groq using Portkey.
- E2B Code Interpreting: Learn how to integrate code execution for LLMs with the Code Interpreter SDK by E2B.
- JigsawStack Prompt Engine: Learn how to automate your workflow and choose the best LLM for your prompts using JigsawStack's Prompt Engine powered by Groq.
- JigsawStack Prompt Engine (Replit): Replit-ready JigsawStack example.
- LiteLLM Proxy with Groq: Learn how to call Groq API through the LiteLLM proxy.
- Toolhouse with Groq: Learn how to use Toolhouse to create simple tool integrations with Groq.
- OpenTelemetry with Groq: Learn how to integrate OpenTelemetry tracing and metrics for insights into Groq usage.
- Arize Phoenix: Evaluate Groq Agents: Learn how to evaluate and monitor your Groq-powered agents using Arize Phoenix.
- Content Filtering with Llama Guard: Learn how to use Llama Guard to help prevent abuse and engagement with inappropriate content.
- Image Moderation: Learn how to implement image moderation and content filtering for visual content.
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The Groq API Cookbook is community-driven and we are always looking for contributions in the forms of ideas, fixes, improvements, or suggestions! We greatly appreciate the open-source community and are committed to helping our community get good resources.
If you're interested in contributing to our cookbook, please first check out our contribution guidelines. We welcome high-quality guides and examples that will help our community and can't wait to see what you cook up! 🧑🍳
If there are guides or examples that you'd like to see in the future, feel free to make a suggestion here.