🔍 Enhance AI solutions with a Graph-Powered Recommendation & Reasoning Engine that combines Graph Intelligence, Vector Search, and explainable retrieval.

🦜🔗 Docs for LangChain projects

Automated testing framework for AI chatbots with Train/Assisted/Auto modes, LangSmith integration, and intelligent failure diagnosis

LLM-based chatbot assistant that provides users with concise notes to help them understand topics at different levels of depth.

An autonomous travel planning agent that creates full itineraries (flights, hotels, activities) using LangGraph and real-time Amadeus API data ✈️

LangSmith C# SDK based on official LangSmith OpenAPI specification

Noesis is an AI‑Powered Data Analysis Platform which streamlines data science workflows by combining Large Language Models with the Model Context Protocol (MCP). It offers automated exploratory analysis, data transformation, data cleaning and data vizualization

🎌 Production-grade Anime Recommender System powered by 🔗 RAG . Built with 🦜 LangChain, 🗄️ ChromaDB vector store, 🦙 Groq Llama 3.1 LLM, ⚡ FastAPI backend, 🎨 Streamlit UI. Deployed on ☸️ Google Kubernetes Engine (GKE) Autopilot with 🐙 GitHub , and 🔍 LangSmith LLM observability.

Research-assisted Essay Writer built with Streamlit + LangGraph, featuring revision loop, multi-format exports, ZIP bundles, and LangSmith feedback.

Command line tool for the langsmith and langgraph APIs

Langchain FastAPI server

Python LLM-RAG ReAct agent using LangChain, LangGraph and LangSmith built on Quart web microframework and served using Hypercorn ASGI and WSGI web server.

🔍 Complete LangSmith Tutorial: Master AI Observability & Debugging | Learn to trace, monitor, and evaluate LLM applications with hands-on examples from simple chains to complex RAG pipelines and Agents

A beginner-friendly LLM notebook demonstrating how to run ChatOllama with Gemma 2B, load environment variables, and track runs using LangSmith.

Accessible assistants built with Python, and Plotly track bills, meds, and health, issuing alerts at thresholds. Upgraded with AI avatars for plain‑language updates via voice/video, secured by RS256. Success measured by reminders, fewer misses, alerts, and user satisfaction.

Demo of how to use LangSmith to evaluate a traditional ML model and the broader LLM call that uses the ML model as a tool.

A LangChain evaluation pipeline that uses Playwright to interact with chat.langchain.com, scrape responses, and evaluate them using LLM-as-judge evaluator.

A modular repository for experimenting with LangChain, LLM-powered Agents, and Autonomous AI Workflows. It contains practical implementations, mini-projects, and research-based prototypes.

Chatbot Development with Advanced LangGraph Concepts