Langgraph Agentic RAG AstraDB Cassio Vector Store Showcase

An agentic AI workflow designed to recommmend research conferences for input research papers or discard them as "not publishable"

Exploration space for Teamble AI platform

Use a VSCode dev container as your virtual TypeScript development environment for Node apps.

Next.js + LangGraph project build for a personalized career guidance system

Project to learn and understand LangGraph basics

Agentes

[DEPRECATED] CybertraceAI is an open-source AI agent that simplifies network management through natural language interactions.

This project is a chatbot website built using RAG and LangChain, with a Flask backend, Svelte frontend, and Redis for caching and task management.

Executive AI Assistant (EAIA) is an AI agent that attempts to do the job of an Executive Assistant (EA).

Multi-Agent Debate System built with LangGraph and Google Gemini API. Simulates structured debates between two agents (Scientist and Philosopher) with automated judgment and logging. Demo video of the project:

multi-agent AI application for managing user shopping activity

Flutter cv parse and summarize application and Udemy Courses recommendation app

A smart code generation assistant that uses Google Gemini LLMs, retrieval-augmented generation (RAG), and intent classification to provide contextual, high-quality code generation from user prompts. Built with Gradio for interactive chat.

A display of cat information for a specified breed

A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.

An AI-powered tool that turns natural language descriptions of school schedules into structured, conflict-free timetables using LangGraph and LLMs.

ObsiQuery is a local-first, privacy-preserving AI assistant that transforms your Obsidian notes into an interactive, queryable "second brain." It features a robust data pipeline with markdown-aware chunking and a sophisticated agentic layer built with langgraph, using a ReAct agent and specialized sub-agents (SLMs) for retrieval & synthesis

A multimodal agent that classifies user input as chat or image prompt and responds accordingly.

A self-reflective and adaptive RAG system that dynamically routes queries between web search and vector retrieval, assesses document relevance, checks for hallucinations, and ensures answer quality using a graph-based flow architecture.