Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.

An examples code to make langchain agents without openai API key (Google Gemini), Completely free unlimited and open source, run it yourself on website. Ready to support ollama.... (Update when i am free)

An innovative AI conversation API leveraging Google's Gemini for multimodal understanding. Combines FastAPI, Langchain, and Redis for robust, scalable, and privacy-conscious text and image-based interactions

Fit-O-Fine is a Real-time medical test report store and retrieve using Blockchain and MongoDB • Developed secure login system using web3.js, created a RESTful api using Express.js • Integrated Gemini pro model with chat system to find medical queries and realtime doctor availability in the locality using langchain.js, Google generative AI.

A Node.js API that enables intelligent conversations with PDF documents using Retrieval-Augmented Generation (RAG) powered by Google's Gemini AI and LangChain. Built with LangChain's powerful RAG framework for efficient document processing and contextual retrieval.",

Built with Gemini API, LangChain, Chainlit, and Python, this multimodal assistant explores AI tool integration driven by curiosity about multimodal capabilities. It demonstrates modern AI development by combining cutting-edge multimodal AI with practical user interface design.

本项目整理了Google 5天AI智能体课程的学习成果，涵盖Gemini API、LangChain等核心技术从基础到多智能体系统的完整实践。课程系统化教授智能体架构、工具调用、推理规划、记忆管理和多智能体协作，帮助开发者掌握构建自主AI智能体的全流程技能。提供中英文双语文档和代码示例，适合有Python基础的开发者。

基于 LangChain 和 Gemini API 的轻量级 RAG 系统，支持本地多文档读取、Web UI 展示，并可部署到 Hugging Face Spaces。

An AI-driven resume feedback system built using Langchain and the Gemini API, with a Django backend framework and a Next.js/TypeScript frontend.

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.

RAG model created in langchain using python to tune Gemini API and give it context through tokenization of pdfs into vectorization of the databases.

The project is a LangChain-based demo application integrated with Google's Gemini API, built using the Streamlit framework. It allows users to input a query or search topic through a text box, which is processed by a language model to generate helpful responses.

Gemini LangChain Chatbot is a Streamlit web application that allows users to have conversations with a language model powered by Google's Generative Gemini AI API and LangChain. This chatbot is designed to provide engaging and creative responses to user inputs.

An agentic Retrieval-Augmented Generation (RAG) system for the legal domain, built with LangGraph, LangChain, Google's Gemini, Tavily Search API, and Chroma DB.

Agent-base chatbot for analytic using Gemini LLM API and Langchain-Agent

⚡ Interactive AI assistant that transforms YouTube videos into a chat experience using RAG (Retrieval-Augmented Generation). Built with Streamlit, LangChain, and Gemini API.

Agentic system built with LangGraph, LangChain, Gemini 1.5 Pro, Tavily API, FPDF & Streamlit — automates deep company research, performs intelligent web crawling, and generates structured PDF reports with citations and zero manual effort.

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.

A powerful, context-aware AI assistant that uses Retrieval-Augmented Generation (RAG) to answer questions based on your own documents. This project is built with Python, LangChain, and Google's Gemini API, providing a solid foundation. This assistant can remember the context of your conversation and can be easily adapted to use any PDF document.

MultiModal and Chat with your Documents

No description available

This example leverage Google Gemini AI API and LangChain to summarize publicly accessible PDF documents.

Lecture-to-Notes Generator using RAG, Gemini API, and LangChain

(Chat with PDF) RAG app using Flask, Langchain and Gemini Api

Unibot: A RAG chatbot for Debrecen University regulations. Built with Python, Streamlit, LangChain, and the Gemini API.

Upload PDF and get specific response on PDF with RAG app using Langchain, Gemini api, sentence-transformer, streamlit

Generative AI models for text generation, summarization, and Q&A using LLMs via LangChain, Hugging Face,Gemini and open-source APIs.

A Streamlit-based AI-powered data analysis tool using Google Gemini API and LangChain. Users can upload datasets, ask questions, and get AI-driven insights.

An AI-powered Q&A assistant allowing users to chat with PDF documents. Built with Python, LangChain, Google Gemini API, and ChromaDB using RAG architecture.

AI deep research agent. 4 LLM providers (OpenAI, Google Gemini, Anthropic Claude, Ollama). Works 100% free with Ollama + DuckDuckGo. No Langchain, no paid APIs required. CLI + Python API. pip install deepworm