langraph-python

This is a LangGraph AI Agent that features a sophisticated two-tier routing system that uses OpenAI GPT models for smart tool selection with rule-based pattern matching as a reliable fallback, making it production-ready with extensive testing coverage and interactive capabilities.

Local-first RAG pipeline using TurboVec for vector search and LangGraph for orchestration, with Gemini API for response generation

Tree Evaluator is a minimal FastAPI application that computes above- and below-ground biomass, carbon, and CO₂ from dendrometric parameters (e.g. diameter, height), using an explicit OOP calculation service.

This project is a Mini Agentic RAG (Retrieval-Augmented Generation) System designed to answer domain-specific questions with high accuracy and minimal hallucinations. It leverages Azure OpenAI for LLM capabilities and FAISS for efficient vector retrieval.

Agente de IA especializado en estudios de mercado y análisis financiero cuantitativo para Colombia y Latinoamérica.

AI Agent to Handle your Time and Your tasks (Intelligence TODO ) over telegram bot.

Multi-agent Lang-graph framework for autonomous software developement

Real-time API monitoring powered by GenAI. Detect anomalies, track LLM costs, and search logs semantically with Pinecone and Groq.

Pedagogical LangGraph project: human-in-the-loop, tool agents, and reflection patterns

Documentation Agent for GeniOS Ecosystem. This agent helps create Standard Operation Procedure (SOP) Document through Email

🩺 Agentic RAG chatbot for medical Q&A on Diabetes, Hypertension & Asthma. Powered by a LangGraph multi-step reasoning agent, hybrid retrieval (dense + BM25 + Cohere rerank), Groq LLaMA 3.3 70B, Qdrant, and Supabase. FastAPI backend on Cloud Run.

This project presents a production-grade multi-agent research system that automates the end-to-end workflow of technical research: searching the web via DuckDuckGo, extracting structured information, cross-verifying sources, and synthesizing a structured JSON report — all powered by Groq's LPU inference on Llama 3.3 70B.

LangGraph agent that turns natural language into Beancount transactions with validation and human-in-the-loop confirmation via Chainlit.

An AI agent to automate daily job applications across multiple platforms, reducing manual effort by Implementing LangGraph & Groq API with scheduling, recruiter notification system, and automated resume parsing and multi-agent workflow,

LLM evaluation lab: offline evals, LLM-as-a-judge, and prompt versioning — built on a real-world ReAct agent with RAG and LangGraph

Agentic AI Assistant for Financial Market Research

A multi-agent system that automatically reads ML research papers, analyses their code, samples datasets, runs experiments, and writes a structured report to Notion — triggered by n8n and managed through a web UI.

Project to demonstrate MCP and A2A agentic agent technology

nexus backend