This open-source project aims to compile best practices, guidance, and comprehensive code samples for using Google Cloud Vertex AI APIs, in customer services modernization (chatbots, text-bison, search). There code samples explain how to use Google Cloud products.

Learn n8n workflow automation with AI Agents 🤖 | Step-by-step guide to build no-code workflows, automate tasks, and create intelligent pipelines 🚀 | Integrate OpenAI, Hugging Face, LLMs, and external APIs 🌐 | Master chatbots, data automation, and smart workflows using n8n. 🧠

A quick demo on how to make a knowledge based chatbot using OpenAI embedding and GPT-3 APIs

A production-oriented course repository that walks through building a multi-agent chatbot from scratch. Covers backend APIs, agent orchestration, tool-using agents, streaming, authentication, infrastructure, and frontend integration—going beyond demos to real-world systems.

A collection of intelligent AI agents built using Ollama, LangChain, and local LLMs — including chatbots, voice assistants, web scrapers, document readers, and custom tools. No APIs required. Fully offline.

AI Chat Assistant is a full-stack intelligent chatbot application built using React and Node.js. It integrates modern Large Language Model (LLM) APIs to provide real-time, structured, and detailed responses to user queries through an interactive and responsive chat interface.

A symfony chatbot Proof of concept, by using botman lib, Sonnet 3.5 Anthropic model, YoutubeV3 api and other apis.

The project shows how to develop an interactive chatbot using Lex and open APIs. Lex provides operations using User Intent but it may response the dupulicated answers for unknown intents. Thus the proposed architecture uses Open APIs such as ChatGPT.

A chatbot to answer user's travel queries and recommend holiday packages based on the dataset using Open AI APIs (LLM)

MISCOH is an AI-powered chatbot built using Cohere AI APIs with a user-friendly UI. This bot was built using ReactJS for frontend and ExpressJS for backend.

A ROS2-based Conversational AI system that processes speech input, interacts with various chatbot APIs (including ChatGPT, Hugging Face, and local LLMs via Ollama), and generates spoken responses using independently Dockerized ROS2 nodes.

This project is an AI-powered multi-functional platform built using NVIDIA APIs that integrates multiple intelligent tools into a single system. It provides capabilities such as document analysis, chatbot interaction, code generation, and multilingual translation (12+ languages).

An AI Chatbot build using OpenAI APIs

Conversational engine for ChatBot fully based on intents using deep learning models and external NLP APIs

This project folder includes the architectural design of how PromptCart utilises product recommendation using vector database(semantic search),AI powered personalised chatbot for questions & answers using different APIs and LLMs

Backend-only AI chatbot built with FastAPI, LangChain, and Google Gemini, featuring Retrieval Augmented Generation (RAG) using PostgreSQL + pgvector, document uploads for contextual chat, and persistent conversation history via session-based APIs.

Geminiclone is a front-end web application built using React.js, inspired by the interface and functionality of Google Gemini. The project demonstrates how to integrate APIs, manage application state, and create a clean, modern UI that mimics an AI-powered chatbot experience.

A chatbot application built using a dataset of 257k doctor-patient dialogs and OpenAI's Completions and Embedding APIs.

Automatic Dialogflow chatbot creation using OpenAI-Pinecone stack. OpenAI Embeddings & Completions APIs, Pinecone, Dialogflow API

Contains a simple macOS/iOS chatbot connection to vLLM using llama-stack or OpenAI APIs

The Web application contains two UI. One for Quant developers who make Trading algorithms and second UI is a chatbot for derivative traders. After posting algorithms, they are stored in vector databases and later with help of langchain and OpenAI Apis, the LLL is trained. Later using LLM, chatbot replies traders with condition specific Algorithms.

A simple and interactive Chatbot application built using Java and Spring Boot. It provides REST APIs to send and receive chatbot responses with clean and modular architecture. using Gemini API

A simple chatbot, designed in kotlin using OpenAI and AI21 apis to demonstrate conversation capabilites of large language models

Build your own intelligent, context-aware AI chatbot using React, Node.js, and OpenAI GPT APIs. This chatbot app allows users to chat with an AI model in real-time, get intelligent answers, and integrate into any website or platform easily.

CHatbot which implements mood detection using face detection and based on the mood suggests songs through a music recommender system, hold basic interaction and small talk with the user and also provide services through integrated APIs

This project involves creating an interactive chatbot using Rasa for natural language understanding and dialogue management. The chatbot helps users track shipment orders and handle healthcare-related queries, including weight loss programs. It integrates with shipment tracking APIs and features a web interface for user interaction.

an interactive chatbot built using Python, PyQt6, and Groq. It demonstrates how to create a user-friendly interface using PyQt6 and integrate advanced language understanding capabilities using Groq's Large Language Model APIs. The chatbot processes user inputs asynchronously, ensuring smooth and engaging conversations.

Events near you web app made using node.js(its framework expressjs),different node modules,different google apis, chatbot from API.ai with mongodb database

This repository contains a voice-activated chatbot that utilizes the Vosk and OpenAI APIs to recognize speech, transcribe audio, and generate responses using a pre-trained language model.

This repo contains a application(Financial Advisory-GPT) made from streamlit using Langchain, OpenAI APIs and LLMs. This application can be used to provide real time advisory in buying or selling any stocks, the data has been fetched using Yahoo Finance. It also contains a chatbot which may replies to all your geniune queries.