20240223-chat-with-mysql

Tutorial on how to use MySQL loader with LangChain

alejandro-ao

angular-todo-list

Todo list built using Angular

ask-multiple-pdfs

A Langchain app that allows you to chat with multiple PDFs

chagpt-cli-python

A CLI interface that allows you to interact with ChatGPT from your terminal using an API key.

chat-with-mysql

GUI Python Application that allows you to chat with a MySQL database

chat-with-websites

Latests Langchain (2024) App to chat with any website given its URL

chatbot-from-scratch

chatgpt-equations

Chrome extension that allows you to visualize equations using Latex notation inside ChatGPT

chrome-extension-boilerplate

A boilerplate to create Chrome extensions with Manifest V3

crewai-crash-course

Tutorial: Introduction to CrewAI

crewai-instagram-example

Example inspired by @joaomdmoura sample project

ecommerce-project-r

Predict with linear regression amount spent by user in e-commerce platform

js-tutorial-multistep-form

Created with CodeSandbox

langchain-ask-csv

A Langchain app that allows you to ask questions to a CSV file

langchain-ask-pdf

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

langchain-chat-gui

Langchain chat with memory and a GUI made in Streamlit

leaflet

🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦

leaflet-interactive-map

Created with CodeSandbox

mean-todo-list-heroku

Full-stack TODO app built using the MEAN stack deployed in Heroku

node-todo-list-rest-api

RESTful API for a todo list coded in Node.js, connected to MongoDB through Mongoose.

openai-quickstart-node

Node.js example app from the OpenAI API quickstart tutorial

openai-sql-generator

Simple app in React and Node that interacts with OpenAI's ChatGPT API

pandoc-novel

Markdown text to a novel in ePub and PDF.

py-ad-performance-predictor

This model uses logistic regression to predict whether or not an internet user will click on an ad.

py-bank-stocks-eda

This project explores the behaviour of 4 major US bank stocks between 2006 and 2020.

py-ecommerce-spending-predictions

This model uses linear regression to predict how much a user spends every year in an e-commerce website based on the user's characteristics.

py-movie-recommendation

This code uses the power of pandas and its correlation functions to get film recommendations to a user based on its ratings on other movies.

qdrant-cloud-app

r-shiny-censusapp

Shiny app from the official tutorial in their docs