Langchain agents

Chatbot zu den Wahlprogrammen zur BTW 2025

A Django library for seamless LangChain integration, making it easy to add LLM capabilities to your Django applications.

基于LangGraph的智能天气Agent，支持自然语言查询和动态React UI组件生成。

Build x402-paying agents in 5 minutes - Complete TypeScript monorepo with working agent examples

CorpGuide AI Backend: An intelligent HR Policy Assistant powered by RAG, Groq, and LangChain. Features a FastAPI server, ChromaDB vector search, and self-healing database logic for context-aware document retrieval.

Python toolkit that lets your LangChain agents automate Taiga: create, search, edit & comment on user stories, tasks and issues via the official REST API.

AIcompanion è un assistente AI modulare sviluppato in Python, progettato per elaborazione conversazionale, analisi documentale e modalità di interrogazione. Integra Flask per l’interfaccia web, LangChain per la gestione del contesto e modelli Ollama eseguiti in locale fornendo un ambiente completo e ottimizzato per workflow AI on-premise.

AI research application

A code sample that shows how to use 🦜️🔗langchain, FAISS and a hosted LLM endpoint to do Q&A about 500+ movies in the Kaggle Rotten Tomatoes Top Movies dataset

📆TimetableGPT use the power of LLM to allow you to ask questions about your timetable and get accurate answers to help you manage it so that no schedule will overlap each other.

Farmers' own virtual farmer

Build an AI Agent with long term memory using LangGraph

This repository demonstrates Cache-Augmented Generation (CAG) using the Mistral-7B model.

This repo contains codes for RAG using docling on colab notebook with langchain, milvus, huggingface embedding model and LLM

Personal Assistant to answer all questions about Adam!

A LLM-powered RAG application designed to answer any query related to the Harry Potter series.

Otodom scraper and information retrieval

This repo is the comprehensive guide, covering Langchain integration with Huggingface models. Learn to build, deploy, and optimize cutting-edge AI applications through hands-on projects and real-world examples.

A novel approach to mitigating social bias in Large Language Models through a multi-judge pipeline that assesses and filters reasoning steps of DeepSeek-R1.

Learn how to deploy your swarms applications on cloudflare workers

A Chatbot made to go on Discord and OLLAMA

基于本地大模型+RAG的知识库问答系统

High-performance LLM orchestration in Rust. Fast RAG, memory, and agents for Python & Node.js.

Bulk Email Sender with Personalized Content This project is a bulk email sender built using Streamlit and LangChain's ChatGroq model to generate personalized emails for each recipient. The emails are customized based on the client's name and the services they offer, such as E-commerce, Digital Marketing, etc.

Study group resources for AI development tools, focusing on LLMs, GenAI, and Agent architectures including Model Context Protocol (MCP)

Generate a powerpoint based on a topic

A notebook to ask GPT-3.5-Turbo questions about a PDF document while keeping track of the previous questions (memory).

Architect helps you quickly prototype and validate your ideas for hackathon projects.

This is a basic RAG chatbot made using LangChain, Streamlit, FAISS, Cohere's embed-english-v3.0 and OpenAI's gpt-3.5-turbo or Cohere's command-r

QueryPDF is a full-stack application designed to facilitate PDF document analysis through natural language processing. Users can upload PDF documents, ask questions about their content, and receive generated answers.

Natural Language Query Agent over some web data and some pdf which has conversational memory using Groq Cloud API

Centrale-NLP-Public-Ressources : This repository is about the NLP class 2023/2024

AI 대화 시뮬레이션과 퀘스트 기반 거절 연습 시스템 ( LLM-Powered Role-Playing System for Enhancing Interpersonal Skills (korean) ) [CNU Grad Project]

Ask-My-Pdf is a user-friendly Streamlit application designed to enhance the way individuals interact with their PDF documents. Whether you're a student, researcher, or professional, this app provides powerful tools to simplify document management.

Explore cutting-edge Q&A capabilities with OocyteRAG, a dynamic platform powered by LangChain and HuggingFace technologies.

A collection of Google Colab notebooks featuring experiments, assignments, and projects in Generative and Agentic AI, serving as a resource for learning, collaboration, and research exploration.

This project implements a classic Retrieval-Augmented Generation (RAG) system using HuggingFace models with quantization techniques. The system processes PDF documents, extracts their content, and enables interactive question-answering through a Streamlit web application.

An intelligent document processing system that uses the Model Context Protocol (MCP) to extract, analyze, and route business documents automatically

A personal finance coach agent that helps users manage their finances, and track expenses using LangChain and OpenAI.

A Contextual Retrieval RAG application to chat with a PDF or Text file

AlgoAI is a chatbot (RAG) for answering questions about Data Structures and Algorithms. Built with FastAPI, LangChain, and supports OpenAI or Cohere as LLM providers. Includes features like streaming responses, vector storage with Datastax Astra DB, and message persistence using Postgres.

Click Clinic is a one stop Health and Nutrition Gen ai Solution

My LangGraph-built AI assistant that provides conversational access to my professional portfolio. It leverages tool-calling to dynamically fetch and present data from my GitHub, answer questions about my skills, and discuss my project work.

GraphOS is an open-source governance and observability layer designed specifically for LangGraph and the Model Context Protocol (MCP).

A Retrieval-Augmented Generation (RAG) chatbot that provides accurate, context-aware responses to hospital-related queries using LLMs and document retrieval.

PaperChat is an AI-powered chat application designed to handle PDF documents through a user-friendly interface. Users can upload PDF files, ask questions related to the content within those documents, and receive responses generated using advanced natural language processing (NLP) techniques.

Plataforma educativa impulsada por IA (OpenAI + Mistral) con RAG, agentes inteligentes, análisis de imágenes, paneles administrativos y sistema de usuarios completo.

Multi-agent PR reviewer on LangGraph — four specialists (security, performance, tests, quality) review in parallel. Self-hostable, model-agnostic. GitHub Action + CLI + Python library.

convert CSV to SQL and use langchain to Question and Answer

In this project, I use LangChain to train a Large Language Model on a custom set of notes. There will be a set of applications in this repository built around this foundation.

An application that will assist an end-user to explore a variety of recipes with the available ingredients in one’s kitchen.

A versatile multi-agent system (vMAS) using the Scrum framework, Python, Langchain, and GitHub for task management.

Friend AI is an avant-garde application blending the strengths of Django, Angular, Python, and PostgreSQL, meticulously stitched together to redefine user interaction with technology. Our AI-driven platform offers a unique approach to extracting, understanding, and conversing with content.

Your go-to companion for movie nights 🍿

Simple implementation of RAG using watsonx.ai, capturing the chat history to keep track of the conversation context and answer follow up questions.

The goal is to evaluate CVs based on the O-1A visa qualification criteria

This repository features DocTalk, an innovative chat application harnessing the power of LangChain, Groq, RAG, and Gemma models for dynamic interaction with PDF documents. Users can effortlessly upload their PDF files, pose inquiries related to the content, and promptly obtain precise responses extracted from the documents.

GEERS AI 2024

AI-powered project management for software development teams.

App that answers questions about any YouTube video using its transcript. Built using Retrieval-Augmented Generation (RAG) with LangChain, vector stores, and LLMs.

A sophisticated AI-powered doctor appointment management system built with LangGraph, FastAPI, and Streamlit. This multi-agent system helps users check doctor availability, book appointments, and manage their healthcare scheduling needs through natural language interactions.

Military recruitment RAG chatbot with LangGraph query rewriting, question decomposition, hybrid retrieval, reranking, vLLM, and FastAPI.

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.

Eui is an automated content creation framework designed to streamline the production of video content. It leverages the Manim library for generating mathematical animations and the Chatterbox TTS model for voiceovers, facilitating the creation of technical videos, such as YouTube Shorts

TypeScript library providing persistent memory for AI agents — conversation history, long-term memory with vector search, and automatic fact extraction.

This GitHub repository, "AI-Crew-for-Instagram-Post", is a project that aims to provide an AI-powered solution for creating Instagram posts

Knowledge Dungeon is a Streamlit-based quiz adventure where LLM agents generate and check questions, track progress, and guide players through levels.

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

A hands-on workshop template that demonstrates how to orchestrate CrewAI agents for planning, research, writing, and review workflows. The stack combines CrewAI with LangChain tools, a FAISS-backed Retrieval-Augmented Generation (RAG) pipeline, and a Streamlit frontend.

The privacy-first memory engine for AI agents. Setup wizard, per-user vaults, smart inbox, natural-language forget, MCP server for Claude/Cursor/Windsurf. Zero API calls. Zero dependencies. Pure Python.

Automated resume generation based on job link using CrewAi

Different AI agent implementations using various frameworks and approaches

Deterministic execution boundary for AI agents. IFC enforcement at the sink. 5 frameworks. 50 attack vectors. Apache 2.0.

🛠️ Explore hands-on notebooks to master LLMs, RAG, LangChain, CrewAI, and multi-agent systems for effective AI learning and experimentation.

Build agents with any framework. Ship them with FastAgentic.

WebBriefs is an intelligent webpage summarizer API that extracts and condenses content into concise, readable markdown format. Perfect for quickly getting the gist of any website

My implementations for "AI for Developers" course assignments, in Python and JavaScript.

🛡️ The CrowdStrike for AI Agents — Runtime protection, threat detection & security monitoring for LLM agents. Supports LangChain, CrewAI, AutoGen, OpenAI. Python • JS • Rust • Go • Ruby • .NET

AI agent governance layer — sign, monitor and control every agent action. EU AI Act · ANSSI · NIST ready.

The Official Github page for James Karanja Maina, author of The Complete AI Blueprint series of books.

A zero-dependency Python decorator that hides internal arguments from LLM tool-calling schemas via __signature__ mutation.

Generative question answering bot using custom data based on flan/T5 model

Simple introduction to RAG with some code

Skin Cancer & Diseases Classification CNN Model for Intel Gen AI Hackathon - Cognizance

A FastAPI-based application that combines a Retrieval-Augmented Generation (RAG) system with an intelligent agent for enhanced information retrieval and query handling.

Create LLM-powered webapps with ease

There is a new, more advanced solution in here: https://github.com/hanit-com/azure-openai-conversational-chatbot.git.

This repository is dedicated to the daily research and practical application of AI technologies, especially those revolving around Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-Agent Systems.

The serialization engine for LLM agentic workflows. A drop-in Python/Rust replacement for JSON that mathematically reduces context window bloat by 44% and deserializes 3x faster. Built for multi-agent swarms, RAG memory, and AI orchestration.

A simple and powerful package that leverages Streamlit and LangGraph to build interactive, multi-agent web interfaces

智能对话式智能分析平台，让数据分析变得简单自然

18 AI agents powered by VEROQ — automated trading with fact-checked intelligence, bias detection, and forward predictions.

An AI-powered YouTube creator research agent. Topic research, script generation, SEO optimization, and creator style analysis — powered by LangGraph, multi-model LLM routing, and real-time data tools.

Open-source Python framework to deploy AI agents via HTTP, A2A, and MCP with built-in observability

A comprehensive implementation of the HuggingFace and Langchain-academy Agentic AI course. Explore LLM-powered agents using transformers-agents, custom tools, multi-step reasoning, and real-world deployment workflows across Hugging Face's agent framework and inference APIs.

🔍 Accelerate research using a Multi Agent System for efficient context engineering with DeepAgent and LangChain's library.

AI-powered customer support assistant designed to handle food delivery complaints efficiently. Built using LangChain, RAG (Retrieval-Augmented Generation), PostgreSQL, and email automation, the chatbot provides empathetic, context-aware responses to customer queries regarding order status, payment issues, and refunds.

AIsha: Your personal multimodal AI agent! 📱🗣️🖼️🎤 Powered by Groq (Llama 3), Qdrant, Cloud Run, LangGraph, ElevenLabs, and Together AI, AIsha can send/receive WhatsApp messages, understand voice/images, send voice notes/image updates, and recall long-term memories. Run it for free on your own computer or affordably on Google Cloud Run!

Multi agent automatically reviews Python code for security vulnerabilities, performance bottlenecks, stylistic errors, and semantic issues.