Agentic AI Framework for Java Developers
A client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools
An intelligent system combining a sophisticated data pipeline with an AI-powered chatbot. The system features document processing capabilities, multi-modal AI integration, and a scalable architecture.
ReAct-based AI agent using LangGraph for GAIA benchmark evaluation. Handles audio/video transcription, web search, file analysis, and complex reasoning chains. Achieves autonomous execution on real-world assistant tasks with 15+ specialized tools.
A weather chatbot built using Llamaindex and OpenWeatherMap APIs. This chatbot is capable of answering questions about the weather, comparing forecasts, and finding the closest cities to specified coordinates. It runs locally on your machine using Streamlit.
AI-Trip-Planner is an agentic travel planning app using LangGraph and LangChain for dynamic LLM-driven workflows. It integrates modular tools (weather, places, currency, expenses) and real-world APIs, orchestrated via a graph-based agent, with FastAPI and Streamlit for a seamless, production-ready AI experience.
This repo explain DSPy library with different examples.
ReAct-Agent-With-Tools enhances language learning with AI-driven search and image generation, running seamlessly in a Dockerized environment.
This template showcases a ReAct agent implemented using LangGraph, designed for LangGraph Studio. ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools.
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