Langchain agents

Simple AI search and summarising agent

AI-driven PDF reader that turns documents into conversations. Built with GPT-4o-mini, Firebase, and Next.js to demonstrate full-stack development and AI integration.

An automated talent acquisition pipeline designed to streamline candidate screening using Agentic AI. This project uses LLMs to parse resumes and job descriptions, ranking candidates based on semantic alignment, with full observability provided by LangSmith.

S-Chatbot is a Streamlit-based chatbot powered by GooglePalm language model. It allows users to interact with the chatbot and receive responses from the model.

Building app in databutton using LangChainAI's Constitutional Chain

Materials for the talk "Building a Q&A engine with LangChain and open-source LLMs"

A RAG (retrieval augmented generation) playground application for LangChain. Supports Google Gemini Pro, OpenAI GPT-3.5-Turbo, and Anthropic Claude 2.1. Built using LangChain, Angular, Tailwind, and NgAnt.

AI Review Summary for Restaurants

Aora is an application designed to leverage AI for advanced document handling and natural language processing. This repository contains both backend and frontend components to get the application up and running.

This project aims to build a RAG system (chatbot & voice assistant) that responds to custom data.

A lightweight RAG for embedding and querying codebases. This service allows users to download GitHub repositories, process their code, store it in a vector database, and query it using natural language to retrieve relevant code snippets. Perfect for building intelligent code search and analysis tools.

Agentic AI-powered search engine for discovering AI tools using natural human queries.

A RAG LLM specialized in agricultural knowledge, currently primarily supporting soil science knowledge in China.

Using the Langchain framework combined with RAG techniques to build a chatbot based on historical data of Vietnam (1945-1975).

Aplicação Web Pessoal (SaaS) open-source. Unifica Finanças, Saúde (Bio-tracking), Produtividade e Agenda em um Dashboard de BI integrado. Construído com FastAPI, React 19 e Agentes de IA (LangGraph).

Production-ready AI medical chatbot for healthcare. IBM WatsonX, OpenAI, RAG, Llama 3, Mixtral. Medical interviewer, fine-tuning, Gradio. Python 3.9+.

Reference materials for the Udemy course: Agentic AI Engineering on AWS

InternNova is an AI-powered internship and application management platform. Built with a microservices architecture, it features automated resume parsing, AI-driven candidate evaluation, and LaTeX-based PDF resume generation using LangChain and LLMs.

A free, self-hosted alternative to LangGraph Platform's Cron Jobs with the same API interface (compatible with langgraph-sdk).

Welcome to the Travel Guide Chatbot project! This innovative chatbot is designed to assist users in navigating their travel experiences, powered by cutting-edge AI technologies.

Extract Amazon customer reviews of select products via a third-party educational web scrapper, analyze them with LLM, and display concise summaries using an interactive user interface.

Trigger & spectate chess games b/w different LLM agents

Created AI-powered applications that can answer your questions based on a PDF document.

TOTUR is an AI-powered educational assistant designed to help users with audio transcription, PDF text extraction, and question answering. It leverages advanced AI models and Retrieval-Augmented Generation (RAG) to provide accurate and contextually relevant responses based on uploaded content.

A Chat with PDF! Here, you can upload a PDF and chat with it to retrieve any information you need. It uses LangChain and OpenAI embeddings for processing, with Pinecone for vector storage.

Agentic system built with LangGraph, LangChain, Gemini 1.5 Pro, Tavily API, FPDF & Streamlit — automates deep company research, performs intelligent web crawling, and generates structured PDF reports with citations and zero manual effort.

☄️ SlackBeam is a self-hostable slack bot that helps teams generate social media content for X (formerly Twitter) directly from Slack.

working on langchains

A.U.R.A a autonomous AI robot that can sense, think, and move.

An intelligent pipeline that automates lead generation and contextual enrichment from raw CSV data. Real-time keyword filtering via SerpAPI, Contextual data tagging using Groq’s LLaMA3-powered LLM CRM-ready CSV outputs with seamless export support

QueryPilot -Production-ready multi‑agent Text-to-SQL API for Postgres. Schema‑aware LangGraph pipeline with ChromaDB + sentence‑transformers, Neon-backed DB, and full evaluation on real ecommerce & library schemas.

AI-powered deep search agents using multiple approaches - from basic web search to advanced LangChain-based research agents with adaptive strategies, multi-source validation, and intelligent synthesis capabilities.

LangChain Practice Tasks using FastAPI and LCEL

Capture macOS dictation accurately without rewriting your words, keeping your input true to what you speak and avoiding common app issues.

An AI powered email organiser help you to organise email efficiently, my first SAAS product

The repo hosts files for a RAG GenAI for Catalyst Center Operations, network insights

MCP server for AgentOracle — trust verification for AI agent claims via Model Context Protocol. Standards-track receipts as MCP tool responses.

ClearPhrase is a free writing tool that can change the tone of your writing with just a few clicks.

AI Language Model + Telegram (Running on Cloudflare Workers)

The LangChain Crash Course repository serves as a comprehensive resource for beginners who are ready to learn LangChain, a programming framework designed for creating AI agents, building RAG (Retrieval-Augmented Generation) chatbots, and automating tasks using artificial intelligence.

This project focuses on developing a Retrieval-Augmented Generation (RAG) system tailored for Contract Q&A.

Medical RAG App built using Meditron Medical LLM and PubMedBERT Embeddings

AG QA Application based on Brooklyn College Student Handbook 2023-2024: A semantic search and question-answering system utilizing MongoDB, Weaviate, and GPT-3.5. This application provides accurate answers to queries using the Brooklyn College Student Handbook as a data source, integrated with Gradio for an interactive user experience.

Imagine a tireless AI, designed to provide guidance, encouragement and coping mechanisms on mental health issues. That is what the HarmonyHaven Chatbot is!

Simple telegram bot for ordering food

A AI-Based Ad Generating - Marketing Assistant.

A ReAct AI IoT vocal agent in langhchain.

Fine-tuning Qwen2.5-0.5B with QLoRA for English-to-Persian PDF translation. Built on consumer GPU (GTX 1630, 4GB VRAM).

🔮 Turn any AI-written code change into a gamified, interactive walkthrough, gaming experience

🤖 Complete A–Z roadmap to become an AI Developer & Prompt/Context Engineer in 12–18 months — from zero CS knowledge to professional career. Covers Python, ML, Deep Learning, LLMs, Prompt Engineering, RAG, Agents, Fine-tuning & more.

RadioRAG: Online Retrieval-Augmented Generation for Radiology Question Answering

🚪 Governance gate for AI agents. Enforce policies before deployment: request contracts, operational safeguards, identity boundaries, action budgets. CLI tool with YAML config, JSON/text output, CI/CD integration.

Trace and debug AI agent behavior locally with a step-by-step visual tool that stores data offline for clear inspection and faster development.

A lightweight observability tool for visualizing and comparing RAG retrieval strategies. Features real-time embedding visualization and side-by-side performance metrics.

An automated assistant for GODS the tabletop RPG

AI-driven prompt generation and evaluation system, designed to optimize the use of Language Models (LLMs) in various industries. The project consists of both frontend and backend components, facilitating prompt generation, automatic evaluation data generation, and prompt testing.

A way to apply chatgtp4 to HTB writeups using embeddings.

The AI Resume Rewriter is a powerful tool designed to assist users in optimizing their resumes by providing detailed feedback and rewriting suggestions based on Harvard's professional guidelines. This web-based application, built using Streamlit, allows users to upload their resumes in PDF format and receive actionable feedback on various sections

Reclassifying Spotify tracks Explicity with LLAMA3-70B built using LangChain

This project is a Medical ChatBot built using the Llama-2 model and Python, designed to provide accurate medical information. It uses a robust backend for data processing and a user-friendly frontend, leveraging technologies like Langchain, Flask, and Pinecone.

Retrieval-Augmented Generation without Vector-DB

End-to-end system for transcribing clinical audio and predicting relevant ICD-10 codes.

An AI-powered knowledge engine for NASA's space biology research, built for the NASA Space Apps Challenge 2025.

TextTalk is a cutting-edge AI-powered web application that lets users interact with PDF documents using natural language. Built with LangChain and vercel Ai Sdk.

Multi-Modal RAG: An AI-powered pipeline for extracting, chunking, and summarizing content from PDF documents using advanced chunking strategies and generative models. Includes support for text, tables, and images, with vector search and retrieval via ChromaDB.

Build AI-powered document search without OpenAI bills. This RAG system uses Ollama for local LLM inference and LangChain for intelligent retrieval. Free, private, and works offline. Your data never leaves your machine.

AI agent evaluation framework for multi-participant coordination tasks. Built with LangGraph, custom MCP tools, and LLM-as-a-Judge evaluation. MSc dissertation project (University of Edinburgh, 2025).

Multi-document PDF chatbot built using Retrieval-Augmented Generation (RAG), FAISS vector search, and Groq-powered LLM for fast and accurate document querying.

This project was developed as part of the PIDEV – 4th Year Engineering Program Data Science speciality at Esprit School of Engineering (Academic Year 2025–2026)

This is a Python - based application that allows the user to search for information and open URLs.

Zero-dependency Python helpers to normalize LangChain, MCP, Anthropic content blocks, tool results, and multimodal image payloads.

A multi-agent RAG pipeline for enterprise data with MCP integration and human-in-the-loop validation.

Learn Retrieval-Augmented Generation (RAG) from scratch by manually building chunking, embeddings, retrieval, reranking, answerability, local generation, Graph-RAG, and Self-RAG.

1st place finish - TUM Hackathon @Microsoft 01.-03.12.2023

평일 오전 9시 뉴스 기사 중 AI 관련 기사만 필터링하여 메시지 전송하는 알림 봇

It is an AI-powered conversational interface that allows users to chat with websites.

Multi-disciplinary Project (2024)

Open-source AI agent observability. Track cost, latency, tokens, and errors for OpenClaw, Hermes, LangChain, CrewAI, LlamaIndex, OpenAI Agents, AutoGen, and Anthropic Managed Agents. Self-hosted, no cloud required.

A self-hosted AI agent that lives on your machine, learns your daily routines, and talks to you via Telegram. Local-first, no cloud, no subscriptions.

Open-source scheduling and cost-governance layer for agent fleets, evolving toward a control plane for monitored agent operations.

Multi-agent fraud detection pipeline for the Reply AI Challenge, combining deterministic transaction features, communications analysis, and a LangGraph supervisor to detect suspicious transactions with Langfuse tracing and OpenRouter-powered LLM reasoning.

AI-powered Indian legal intelligence platform — multi-agent LangGraph system with hybrid RAG, 6-layer memory architecture, and LLM-based intent classification. Helps citizens understand their legal rights.

Autonomous Solana research & trading intelligence agent. Think Claude Code, but built for Solana.

Successfully developed a Travel Planner Assistant powered by LangGraph and MCP, integrating real-time flights, hotels, weather, places, and timezone tools. Features modular MCP servers, OpenAI agent orchestration, and a Streamlit UI for end-to-end trip planning.

🗂️ Build a versatile MCP server with RAG capabilities, supporting multiple document formats using LangChain and ChromaDB for efficient data retrieval.

🎯 Streamline your development process with Claude Code Workflow, a repository for efficient markdown linting and link checking in GitHub projects.

ParmaTIS AI Assistant is a modular, memory-aware chatbot system designed to showcase how modern AI architectures can simulate intelligent internal assistants for organizations. It combines LangChain's Retrieval-Augmented Generation (RAG) capabilities with OpenAI's function-calling Agent SDK, wrapped in a clean Gradio-based UI.

Counter-recon honeypot against agentic LLM attackers (PentestGPT/AutoGPT/LangChain). Six deploy modes: Flask drop-in, WSGI/ASGI middleware (Django/FastAPI), callable Python primitives, decoyshield CLI, edge configs (nginx/Caddy/Cloudflare), and Node.js npm package (Express/Fastify). Invisible-to-human, visible-to-LLM bait halts AI scans.

🤖 Automate document indexing and enable intelligent Q&A with this real-time Telegram bot using OpenAI GPT-4 and Pinecone for enhanced user interaction.

AI document intelligence assistant with RAG, OCR, NER, document classification, source-cited Q&A, risk detection, and evaluation metrics for PDFs, DOCX, TXT, and scanned documents.

e-commerce platform with ai assistance

Deliver deep research with a 5-layer Claude skill for markets, products, competitors, regulations, and opportunities

Generative Transformer chemical LLM agent as an expert for Quantum Chemistry and Drug Discovery

Turn your AI agents and automations into installable plugins and packages. Claude Code plugin — 12 skills, 10 commands, 17 frameworks, 10 distribution targets. Academic foundations in cognitive science and software engineering.

GenAI OpenTelemetry Auto-Instrumentation Library A comprehensive wrapper for automatic instrumentation of LLM/GenAI applications Supports all major LLM providers and MCP (Model Context Protocol) tool calls

Runtime control, security, and governance for AI agents — decide what an agent may do at the moment it acts, revoke that authority instantly, and keep tamper-evident evidence of every decision.

Reduce token usage for JSON, CSV, and TSV files with deterministic compression that keeps data intact for AI agents.

AgentLens — Observability and Explainability for AI Agents