groq/groq-api-cookbook resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1418 stars · 299 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of tutorials, sample code, and guidelines for building applications with the Groq API, maintained as Jupyter Notebook examples. It covers quickstarts, chatbots, function calling, MCP integrations, batch processing, and other LLM application patterns.

Use cases

• learn how to use the groq api
• build a chatbot with llm inference
• examples of function calling with llms
• connect llm agents to mcp servers
• convert natural language to sql with an llm
• process llm requests in batch asynchronously
• get started with groqcloud tutorials

When to choose

• you are building on the Groq API and want working example code
• you want to learn function calling, tool use, or MCP integration patterns
• you need quickstart notebooks for chatbots and LLM apps

When to avoid

• you need a production SDK or library rather than example notebooks
• you use a different LLM provider with no OpenAI-compatible endpoint
• you need licensed, redistributable code - the repo has no license

Facets

learning-resource · maturity active

llm-inference agent-framework mcp prompt-engineering rag chatbot large-language-models artificial-intelligence tutorials developer-tools python cross-platform cookbook jupyter-notebooks groq-api function-calling tutorials sample-code openai-compatible ai-agents nodejs

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markdown · JSON · MCP: product_card(name="groq/groq-api-cookbook")