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The personal assistance chatbot integrates appointment creation, Google Calendar event scheduling with Google Meet, and email notifications using the Langchain and Zapier NLA integration.

Nautobot AI Plugin - Large Language Models (LLM), Model Context Protocol (MCP), Middleware and Dynamic Prompts powered by Langchain Ecosystem.

Hybrid Knowledge Agentic RAG System

Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools

CodeNova an Ultimate Gen AI project with multiple features that helps developers to get their job ready and also ensure their to help in production level

Use a RAG Langchain agent that connects to your supermarket's inventory database and get information about product stocks and locations.

基于 LangGraph + LangChain 框架构建的智能旅行规划助手，通过 MCP 协议接入高德地图云服务，提供个性化的多日旅行计划生成。

LangForge is a comprehensive documentation platform for LangChain and its ecosystem, providing detailed guides, API references, and interactive examples for building with large language models (LLMs).

The LangGraph Workflows Collection showcases a variety of AI workflow examples built using LangGraph, LangChain, and Google Gemini LLM. Each example demonstrates how to design modular, state-driven workflows — from simple logic-based flows like BMI or quadratic solvers to advanced LLM-powered reasoning, tool integration, and fault-tolerant systems.

This repository hosts a Jupyter notebook that demonstrates the seamless integration of the Bard API with the LangChain library. By leveraging the capabilities of both platforms, we've crafted a custom Language Learning Model (LLM) that allows users to harness the power of Bard within the LangChain ecosystem.

FastAPI application with streaming Langchain agents and Tavily search tool

minorAgent —— 轻量、清晰的 Agent 框架。内置丰富工具与多 Agent 协作，强可扩展性，适合 Agent 入门学习与二次开发。期待与社区共建。

Deterministic snapshot testing for AI agents

This project focuses on developing a real-time, intelligent healthcare assistant powered by Agentic RAG (Retrieval-Augmented Generation) and the LangChain framework. Designed to provide multimodal support—text, image, and document-based inputs—it aims to assist medical personnel and individuals in remote areas.

A Multi-modal chatbot with LangChain, that supports RAG, Paperswithcode, and Image generation using Dall-E-3

A repository for final project of NLP Bootcamp at Indonesia AI

All my AI Agent projects in one place. Smart, interactive, and tool-powered! 🚀

LLMOps: A production-ready platform for building, deploying, and managing customizable multi-agent AI chatbots. The system leverages modern LLMs, agent frameworks, and search tools to provide interactive, context-aware conversations.

Welcome to our new Custom WebSearch Agent, now as an easy-to-use Streamlit app! No more sifting through loads of generic results. With this app, you get a search experience that's all about you. It's like having your own personal search assistant right at your fingertips.

LanchainLLM

Generative AI demos, an example of a langchain based application that implements Retrieval-Augmented-Generation for an enhanced generation. It uses OpenAI model and OpenAI function tool agent. Able to run Ollama Mistral local LLM too.

Security requirements analysis with JEV, LangChain Deep Agent review via LLM, and deterministic Python reporting

FullStack LangChain application using SpringBoot, LangChain4J and React - integrate with internal data and api and upload internal documents for RAG

The Text-to-SQL Agent is designed to to interact with databases using simple, conversational language, eliminating the need for manual query writing.

A trading assistant agent. Powered by Langchain 🦜.

This project focuses on building a system of autonomous agents powered by Large Language Models (LLMs) and LangChain. Each agent is designed to complete specific tasks using various tools, and the agents are decoupled from each other. The architecture follows an event-driven design.

Use a Langchain GPT-agent to search the web with Tavily and answer the prompt including the target-URL.

A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangChain. Inspired from my Upgrad_IIITB PG Course.

This project leverages the power of OpenAI's Language Model Agents to create an intelligent SQL query assistant.

This tutorial is designed to make working with LangChain.js as easy and approachable as possible.

🤖 Build an advanced RAG chatbot with Azure Databricks, offering streamlined MLOps for enhanced enterprise product intelligence and Q&A capabilities.

This project is a search-powered AI chatbot built with Streamlit and LangChain, designed to retrieve information from multiple sources like Wikipedia, Arxiv, and DuckDuckGo. It leverages LangChain's agent framework and Groq API for real-time, intelligent responses.

InsightPDF is an AI-powered PDF chatbot that lets you upload any PDF and ask questions about its content. It uses Groq's LLaMA 3.3 for responses and ChromaDB for retrieval, enabling accurate, source-based answers in a conversational format.

Bithealth Associate AI Engineer Pre Test: Data Processing + SQL Querying + Mini Project

Code-Agent is your knowledge transfer (KT) assistant to understand large codebases

Trabalho de Conclusão de Curso do MBA em Data Science e Analytics da USP/ESALQ, turma 2023. Desenvolve um sistema de recuperação da informação baseado em LLMs e RAG, aplicado à lista RENAME de medicamentos essenciais. O protótipo utiliza embeddings, bancos vetoriais e LangChain, com avaliação realizada pelo framework RAGAS.

LangChain is a framework designed to simplify the creation of applications using large language models. This repository contains experiments testing various LangChain components, integration patterns, and performance optimizations for different use cases.

A multi-agent AI that turns any topic into a structured document.

An autonomous, state-driven polyglot coding agent built with LangGraph, LangChain, and Google Gemini that plans, generates, tests, diagnoses, and self-repairs code with structured tool calling and Human-in-the-Loop authorization

A simple application to query and interact with multiple CSVs.

A Retrieval-Augmented Generation (RAG) systemA Retrieval-Augmented Generation (RAG) system that lets you query your own documents using natural language. The orchestrator intelligently routes each query to the right retrieval strategy.

LangChain Agent with custom tools — multi-city clock, real-time exchange rate scraping, and read-only SQL toolkit demo. / 커스텀 Tool · 웹 스크래핑 · SQL Toolkit을 결합한 LangChain Agent 통합 파이프라인.

This repo provides a comprehensive guide to mastering LangChain, covering everything from basic to advanced topics with practical code examples in Python. Whether you're working with chains, agents, or document loaders, this repository offers a complete learning experience

langchain, langgraph, rag

LLM Agent System with Tool Calling & LangChain Workflows (Groq + Python)

An AI-powered assistant that lets you ask natural language questions about Pakistan's National AI Policy 2025. Built with FastAPI, LangChain, FAISS vector search, and Groq's LLaMA 3.1 for fast, accurate, context-aware answers.

Users upload CSV/Excel or connect to a SQL DB and chat in natural language

Autonomous multi-agent AI research system built with LangGraph, LangChain, Qdrant, and OpenAI. Features a cyclic LLM-as-a-Judge workflow with Search, Reader, Writer, and Critic agents for iterative report generation.

This project demonstrates a LangChain-based chatbot that integrates with a database to perform tasks like checking order statuses, registering new orders, and querying product inventory.It uses function calling and memory management to create a seamless user experience.The chatbot interacts with users through a web interface

Production-grade RAG Agent system for TD SYNNEX on Azure Databricks. Features Vector Search, MLflow pipelines, and GenAI product recommendations.

Research AI Agent with Python

AI-powered search assistant built with LangChain, Groq, and Streamlit that intelligently answers questions using DuckDuckGo Search, Wikipedia, and arXiv research papers.

设计并实现一个能够处理复杂多模态生成指令的智能 Agent 系统，支持自动化视频素材生成流

Agentic Hybrid RAG for Financial Report Auditing with Llama 3.3 via Groq LPUs (Production Ready)

This is a multi agents research systemn that takes a topic from the user, searches relevant web pages, scraps them, writes reliable research report on that topic and also reviews that report and gives honest feedback. on the final research report.

This Tech Research Agent will help you research about any topic related to technology, whether it's old news or latest, my tech agent has you covered.

A production-ready LangChain publishing agent: give it a brief, it researches the web, drafts the post in your brand voice, then waits for your approval before publishing. One create_agent made production-grade by middleware: approve/edit/reject gates, tier-locked tools behind real auth, thread summarization, multi-provider failover.

A practical, from-scratch guide to learning LangChain through small, runnable Python examples.

Chatbot that provides information to tourists using GenAI

RAG search and Q&A API over a medical encyclopedia EPUB — FastAPI, OpenAI embeddings, Milvus, and LangChain.

This Project Contains Gemini Based RAG Application for Better Interaction and Insights on Online Data

Advanced Clinical AI for Diabetic Retinopathy screening, featuring Vision Transformers, GradCAM, and Agentic Reporting on AMD MI300X.

An AI-powered Multi-Agent Research System built with LangChain, Groq, Tavily Search, and Streamlit. The system uses specialized agents to search the web, extract relevant content, generate structured research reports, and critique the results, providing high-quality research insights on any topic.

AI-powered multi-agent system for web research, source verification, and report generation

Welcome to my LangChain Learning Repository! 🚀 This repository serves as a structured collection of my learnings in LangChain, covering various aspects such as prompts, LLM integration, chaining methods, agents, and Retrieval-Augmented Generation (RAG).

🤖 An autonomous AI agent that scouts, recaps, and emails daily technical breakthroughs in Physical AI. Powered by Gemini 3 Flash, LangChain, and AgentMail.

A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.

A multi-agent research assistant that takes a topic, searches the web, reads the most relevant source in depth, drafts a structured report, and critiques its own output all through a set of coordinating LangChain agents and chains, wrapped in a custom Streamlit interface.

Hands-on examples of agentic GenAI with LangChain and LangGraph, including basic chatbots and tool-enabled assistants using LLM model.

A flask-based app using OpenAI API , Langchain and SQLAlchemy to query a SQL-based database from natural language.

Simple AI agents Stater kits

Verifiable Memory bridge for LangChain_sign every tool call and LLM response

A fine-tuned Mistral-7B model integrated with an SQL database to handle general customer support questions and manage orders.

Agent EE: an extremely lightweight self-modifying/improvement agent. All non-code files are generated by EE, and the repo is uploaded by EE. ⚠️ Running outside a sandboxed/isolated environment may produce unintended effects.

Local, zero-cost hiking day planner built with LangChain 1.x create_agent: web-grounded trail + weather search, short-term memory, typed JSON output, and multimodal gear-photo ID. Runs on a local Ollama model, swappable to any OpenAI-compatible cloud model via .env.

For the purposes of familiarization and learning. Consists of utilizing LangChain framework, LangSmith for tracing, OpenAI LLM models, Pinecone serverless vectorDB using Jupyter Notebook and Python.

A2A-compliant agent template built on LangChain's create_agent() with tool-calling. Define your tools, get a working A2A endpoint with agent discovery, task lifecycle, and JSON-RPC out of the box. Includes optional Qdrant vector store for RAG. Designed to interop with its companion langgraph-a2a template.

Learning LangChain v1: custom tools, agents, and the tool-call loop, building toward a RAG chatbot.

🤖 Agente IA conversacional para ecommerce de suplementos — FastAPI + LangChain + Next.js

Use a Langchain Wikipedia Agent that uses the LLMChain function that for a given input, first writes a short summary and then gives information about the physiological effects.

FastAPI-powered backend for DevPatrika, featuring AI workflows, authentication, REST APIs, and scalable backend architecture.

AI agent for live Lahore air quality — AQI, fire hotspots, wind & 7-day forecast, explained in plain language on the Punjab EPA scale. LangChain + LangGraph + Groq + FastAPI.

Enterprise-grade multi-agent architecture built with LangGraph for automated PDF catalog onboarding and deterministic, zero-hallucination purchasing analysis.

Upload your resume → Get instant AI feedback and improvement suggestions. Powered by LangChain, FastAPI, and Gemini for smart resume analysis.

一个基于 LangChain + RAG + Tool Calling 的阴阳怪气改写器 —— 一个能完整跑起来、可以照着学的 LangChain 实战项目。A sarcastic rewriting tool built with LangChain + RAG + Tool Calling — a fully functional, end-to-end LangChain project that you can run, study, and learn from.

An AI-powered research companion built with LangChain, RAG, Groq, Gemini, and Streamlit.

Template for autonomous LLM agents

My notes on LangChain.

A vanilla, no-magic Python framework for building autonomous LLM agents.

A fully autonomous, multi-agent AI pipeline that searches the web, scrapes sources, writes, critiques, fact-checks, and revises research reports end to end.

This is a customer service AI chatbot that classifies tickets written in English, Hausa, Igbo and Yoruba, assigns them to the appropriate human agent and automatically generates responses to customers.

AI-powered City Assistant using LangChain, Groq, Tavily, and Streamlit for real-time weather and news updates.

An AI-powered cockpit for venture studios to monitor portfolio burn, runway, and health in real-time.

DataWizard: AI-Powered Data Analysis