ChatGPT Chatbot with custom google doc Knowledge base

A fully custom chatbot built with Agentic RAG (Retrieval-Augmented Generation), combining Gemini models with a local knowledge base for accurate, context-aware, and explainable responses. Features a lightweight, dependency-free frontend and a streamlined FastAPI backend for complete control and simplicity.

BYOeB is a tool to build a chatbot with a custom knowledge base and an expert-in-the-loop.

Train an AI chatbot with your custom knowledge base with LangChain and OpenAI API

This is a chatbot with custom knowledge base developed for TLO. It uses HTML, CSS, and JavaScript for the front-end interface and Python with the Google Gemini API for the backend logic.

AI Chatbot With Custom Knowledge Base with RAG technique

Large Language Model (LLM) chatbot with a custom knowledge base

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.

This project is a character-based chatbot for Discord that uses a JSON knowledge base to respond to user queries with predefined answers. It employs the difflib library to find the closest match for user questions and responds accordingly, making it easy to customize for different characters.

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

Build AI chatbot with custom knowledge base using OpenAI API and GPT Index

RAG Chatbot built with LangChain and powered by the high-speed Groq API. Queries a custom knowledge base

A simple healthcare blog with an AI-powered Flask chatbot (Vedic) that answers health questions using a custom JSON knowledge base.

RAG (Retrieval-Augmented Generation) chatbot using LangChain, ChromaDB, and Ollama for local document querying. Features custom knowledge base from PDFs, local LLM with mistral, vector storage, and modular architecture.

ChatBotDSinHVAC is a specialized Question-Answering (QA) chatbot tailored for the HVAC domain. Built with Python and powered by a custom domain-specific vector knowledge base, this project was developed to bridge the gap between Large Language Models (LLMs) and specialized engineering disciplines. This is a personal project developed in 2023.

Chatbot using Custom Knowledge base using LlamaIndex, OpenAI and Streamlit

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AI chatbot with LLaMA & Langchain custom knowledge base

A chatbot based on Google Gemini with custom knowledge base.

Train an AI Chatbot With Custom Knowledge Base Using ChatGPT API

Implementation for a chatbot on a custom knowledge base (multiple documents) with sources. Support for Streamlit as well.

Intelligent chatbot using OpenAI GPT-4 with Retrieval-Augmented Generation (RAG), combining a custom knowledge base and general chat abilities.

A web-based AI chatbot with a custom anime-themed UI, built using Flask and integrated with dynamic knowledge retrieval for real-time responses.

AI Chatbot - Utilizes Ollama to have a 100% local AI Chatbot that you can use to Chat with your own domain knowledge. This Chatbot uses a custom 3D Background that dynamically changes based on the emotional state of the chatbot, which is determined based on sentiment analysis.

This project demonstrates how to build a Retrieval-Augmented Generation (RAG) chatbot using LangChain, OpenAI, and Pinecone. The chatbot is capable of answering questions based on external documents, combining the power of LLMs with a custom knowledge base.

Integrate Large Language Models with external data sources using Flask to create a powerful chatbot. The custom knowledge base enhances its ability to answer questions accurately and contextually

A Retrieval-Augmented Generation (RAG) Chatbot built using Gemini that combines advanced language modeling with efficient document retrieval for accurate, context-aware responses. This chatbot can answer queries based on your custom knowledge base, making it ideal for FAQs and other applications.

A Retrieval-Augmented Generation (RAG) chatbot built with LangChain, Ollama, and CHROMA to answer questions from a custom university knowledge base. Features a simple Gradio interface for interactive Q&A.

A beginner-friendly Retrieval-Augmented Generation (RAG) chatbot that combines a language model with a custom knowledge base. It retrieves relevant context from stored text chunks and generates intelligent, accurate answers.

This repo is an implementation of a chatbot that leverages OpenAI's LLMs 🧠 and specializes on question answering over your own custom knowledge-base. Built with Langchain, FastAPI, Pinecone and Docker for deployment 🚀