Documentation

Examples

Below are some simple python applications you can fork and run in Replit to get you started building with Groq:



Groq Quickstart Conversational Chatbot

A simple application that allows users to interact with a conversational chatbot powered by Groq. This application is designed to get users up and running quickly with building a chatbot.

Chatbot with Conversational Memory on LangChain

A simple application that allows users to interact with a conversational chatbot powered by LangChain. The application uses the Groq API to generate responses and maintains a history of the conversation to provide context for the chatbot's responses.

Building a Text-to-SQL app with Groq's JSON mode

A command line application that allows users to ask questions about their DuckDB data. The application uses the Groq API to generate SQL queries based on the user's questions and execute them on a DuckDB database.

Execute Verified SQL Queries with Function Calling

A command line application that allows users to ask questions about their DuckDB data using the Groq API by using function calling to execute pre-verified SQL queries.

CrewAI Machine Learning Assistant

A command line application designed to kickstart your machine learning projects. It leverages a team of AI agents to guide you through the initial steps of defining, assessing, and solving machine learning problems.

Presidential Speeches RAG with Pinecone

An application that allows users to ask questions about US presidental speeches by applying Retrieval-Augmented Generation (RAG) over a Pinecone vector database.

Groqing the Stock Market: Function Calling with Llama3

A simple application that leverages the yfinance API to provide insights into stocks and their prices. The application uses the Llama 3 model on Groq in conjunction with Langchain to call functions based on the user prompt.


Groq API Cookbook

For more in-depth tutorials and use cases for Groq API features, check out our Cookbook here