custom-chatbot

Open-source AI knowledge base & custom chatbot builder — production-ready Next.js SaaS with RAG, document upload, URL scraping, Q&A training, citations, and embeddable chatbot widgets. Stripe, credits, NextAuth, Prisma.

Introducing ChatGPT tailored for every website. Seamlessly address your visitors' queries using a customized chatbot, trained directly from your website's content. An excellent substitute for platforms like Chatbase, SiteGPT, and Dante AI.

Python library for building custom AI chatbot with just one line of code.

Projects Implemented for the Udacity Generative AI Engineer Nanodegree Program

Learn how to build a custom chat bot using OpenAI APIs, starting with Blazor and extending to a .NET MAUI Blazor hybrid app.

Customizable RAG chatbot made with LangChain, ChromaDB, Streamlit using gpt-3.5-turbo, text-embedding-ada-002 also sporting database integration

This repository explain how to make custom trained chatgpt model

a Chatbot for E-commerce store customer problems to product order all

QuizWiz is an advanced, AI-powered chatbot creation platform that enables users to build, deploy, and interact with custom chatbots.

Chat with India's Budget 2024 (Part I): LangChain-Free RAG on local CPU & (PART II): Without LangChain on Free Google Colab GPU

A conversational chatbot built using Streamlit and Ollama, designed to interact with users, process queries, and generate responses using AI models. It also includes the functionality to save chat conversations as PDF files.

GoodGPT - Your Gateway to Thoughtful AI

a multi-agent chat system where conversations vanish, but digital souls persist. Built with FastAPI and Gemini API.

expressJs + gemini API

An NPM package that provides a plug-and-play chatbot component for React applications, that can be customized with your own data and UI choices.

Custom chatbot - a customizable expert system

This repository contains the Build Your Own Custom Chatbot project implementation of Udacity's Generative AI NanoDegree

Developed a legal AI chatbot using a custom LLM to assist lawyers by reading and summarizing legal PDFs. Built a Python GUI for seamless interaction and integrated LLMMA for efficient processing on CPU. Optimized response structuring for clarity and accuracy. Ensured smooth performance for real-world legal applications.