Learning Agentic AI using LangChain, LangGraph, OpenAI, Gemini and knowledge-Graph.
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Jan 12, 2025 - Jupyter Notebook
Learning Agentic AI using LangChain, LangGraph, OpenAI, Gemini and knowledge-Graph.
This repository contains my code and notes as I learn about Agentic AI using LangGraph
AI study assistant using RAG + agents to explain, summarize, and quiz your notes.
Customer Support Agent is an AI-powered solution for an e-commerce site, built with LangChain and LangGraph. It intelligently routes customer queries and uses LLMs like Gemini with tools to support requests quickly accurately.
This LangGraph-based agentic system matches job descriptions to the most relevant resumes by automating JD rephrasing, retrieval, ranking, explanation, and evaluation.
Agentic AI Powered Research Playground for Academic Papers
This repository contains code and description on MCP application using Agents
A compendium of agentic applications for different business needs and application.
Multi-agent AI assistant that turns a GitHub issue into a draft PR with tests; planner/coder/reviewer loop on LangGraph, served via FastAPI + MCP. Swappable Claude / GPT / local Hugging Face models. Prompt caching & model tiering for ~50% lower cost. Dockerized, CI-tested.
Multi-agent research + writing system built with LangGraph.
Learn about langgraph advance features with this code + commented docs embedded in files
Simple RAG app designed for giving advice about citizen science. Can be modified with any data store.
A production-ready AI voice assistant that handles inbound and outbound calls with seamless Salesforce CRM integration.
Part of the learning of HF's agents course
Comprehensive collection of Jupyter notebooks, code scripts & documentation for learning LangChain, LangGraph, and AI application development. Companion resources for Aparsoft YouTube tutorials.
An AI‑powered travel planner that auto‑generates day‑by‑day itineraries, budget breakdowns, and live weather forecasts—accessible via both a CLI and an interactive Streamlit web app.
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