ChatGPT Chatbot with custom google doc Knowledge base

An advanced chatbot that utilizes your own data to provide intelligent ChatGPT-style conversations using gpt-3.5-turbo and Ada for advanced embedding, as well as custom indexes and knowledgebase for a seamless user experience.

Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit

About An advanced chatbot that utilizes your own data to provide intelligent ChatGPT-style conversations using gpt-3.5-turbo and Ada for advanced embedding, as well as custom indexes and knowledgebase for a seamless user experience.

I made this before their official app... Introducing the ChatGPT mobile app, powered by the cutting-edge GPT-3.5 language model! This app lets you engage in natural language conversations with ChatGPT, the AI-powered chatbot, right on your smartphone. With its vast knowledge base, ChatGPT can answer your questions or just have a friendly chat

SmartQuery is an AI agent chatbot built with LangChain, Gemini API, RAG, and a custom knowledge base. It features session-based memory, Google/GitHub auth, web search tools, and dynamic tool use. Delivers a ChatGPT-like experience for intelligent, context-aware conversations with secure login.

Whatsapp AI Chatbot ChatGPT - Automated Customer Service Reply based on domain knowledge

Chatbot with a custom knowledge base powered by ChatGPT API and LangChain.

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Train an AI Chatbot With Custom Knowledge Base Using ChatGPT API

An AI chatbot demonstrating NLP, intent recognition, and dynamic learning. It uses fuzzy matching for input detection, JSON-based runtime knowledge updates, and real-time conversational learning. This project lays the foundation for building advanced systems like ChatGPT by exploring key concepts such as intent classification, NLU, and adaptive AI.

A WhatsApp chatbot built with python using chatgpt knowledge base.

Knowledge Graph as the data base to chatGPT for chatbot

Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit

Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit

Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit

Building a chatbot with custom Knowledge Base and leveraging the power of chatgpt

ChatBot created with OpenAI libraries & Custom knowledge base for Deskera, leveraging ChatGpt model

A RAG chatbot that answers questions from a knowledge base with source citations, built with FastAPI, React, LangChain, LangGraph, Pinecone and Claude/ChatGPT.

A simple Chatgpt-powered app that provides answers based solely on its pre-existing knowledge you have fed him, perfect for Q&A chatbots.

0-1 proof-of-concept prototype for adding an email knowledge base to ChatGPT in order to converse with the chatbot about said emails using natural language.

Developed SmartRAG, a chatbot using ChatGPT with Retrieval-Augmented Generation (RAG). It efficiently retrieves accurate information from a knowledge base, enhancing user interactions with relevant, context-aware responses.

This project implements a Customer Support Chatbot leveraging the capabilities of the ChatGPT API. The chatbot is designed to provide accurate and context-aware responses to customer queries by accessing a dynamically updated knowledge base built from website scraping.

A fully local, open-source AI chatbot using n8n, Ollama (LLaMA 3.2), PGVector, and custom document embeddings. Mimics ChatGPT-style interaction with your own knowledge base—free, private, and self-hosted.

Al powered FAQ Chatbot Build your own ChatGPT powered faq / knowledge base chatbot that can infer and answer queries based on the information provided via an external data source Requirements for running it 2 locally on laptop Windows / Mac / Linux with Git installed Python 3.8+ MessengerX.io API Token

Developed an FAQ chatbot for wellness products using ChatGPT (OpenAI) as part of an AI specialization course. Applied structured prompt engineering and a CSV knowledge base to simulate realistic dialogue flow, ethical response handling, and product name validation.

BaatCheet is an AI-powered chatbot. It supports natural, conversational Q&A with memory similar to ChatGPT and can be extended with retrieval for knowledge-based answers. --- ## 🚀 Features - 💬 Chat interface like ChatGPT - ⚡ Fast responses with **Groq (LLaMA-3.1)** - 🔄 Conversational memory (can follow up on previous questions)

Falcon 7B Instruct Chatbot is an advanced conversational AI designed to provide up-to-date answers using current data, overcoming limitations of older models like ChatGPT 3.5 ( Overcomed by ChatGPT-4o ). It integrates the Falcon 7B Instruct model and RAG Technique for knowledge retrieval and answering user queries based on real-time information.

A complete Python-based chatbot application that answers questions and holds conversations similar to ChatGPT, but simpler and lightweight. It supports multiple interfaces, works with or without API keys, and can be customized for personal or professional use. Features 🤖 Flexible Responses Built-in knowledge base for common queries Groq AI

An advanced RAG System that integrates ChatGPT, LangChain, and Streamlit to create a powerful File QA UI-based chatbot. It offers seamless PDF document upload and indexing, enabling users to build a personalized knowledge base. The RAG System analyzes queries and generates accurate responses in real-time, with result streaming capabilities.