Jambo - JSON Schema to Pydantic Converter

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

A LangChain-powered conversational chatbot with retrieval-augmented generation (RAG), OpenAI integration, memory, and PDF/text document support.

基于 FastAPI + Vue 3 + LangChain 的全栈 AI 研究助手。 输入一个研究主题，AI 自动完成规划 → 多源搜索 → 总结 → 报告生成全流程， 通过 SSE 实时推送进度，支持 Markdown 导出。

Ninja Navigator AI is a multi-agent orchestration system designed to deliver intelligent, actionable travel plans based on a user’s natural language query. It harnesses multiple specialized agents that work independently and collaboratively to research, analyze, and generate complete itineraries.

A RAG-powered AI for document-based question answering.

A powerful, easy-to-use platform for question answering over documents, web pages, research papers, audio, and video files.

A complete 500-problem roadmap to master LangChain and LangGraph — from basic workflows to advanced agents, RAG systems, multi-agent graphs, safety, evaluation, and production-ready AI orchestration.

MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.

An intelligent system that analyzes resumes against job descriptions using LLMs and vector embeddings, while also acting as a personal knowledge engine for storing and querying content.

Built a RAG-based system to extract and answer questions from PDF documents using semantic search and local LLMs (Ollama).

Beginner-friendly LangChain roadmap to learn LLMs, GPT-4, RAG, Agents, and AI chatbots — from basics to production. Includes free resources, project ideas, and career tips.

Pugcrawl is a lightweight and easy-to-use crawler that extracts data from any website in seconds using AI, with typed results.

Example Langchain agent to demonstrate the potential use of Neo4j graph database as memory.

This project demonstrates the power of LangChain by implementing four distinct workflows—simple, sequential, parallel, and conditional chains—using OpenRouter’s DeepSeek model. It processes text inputs to generate facts, summaries, notes, quizzes, and sentiment-based responses and more.

Upload Your PDF and Chat with your file. Using My AI Agent.

Minutes of Meeting Assistant

speakBuddy is a real time talking model that speak and listen to you and responds to your question.

An automated pipeline to audit video content for regulatory compliance using LangGraph, Azure Video Indexer, Azure AI Search, and Azure OpenAI (GPT-4o). It leverages LangSmith for optimization and Azure Application Insights for monitoring, generating structured JSON compliance reports.

Chatbot em Python que lê PDFs e TXTs e responde perguntas usando LangChain, FAISS e Ollama.