LangChain powered shell command generator and runner CLI

✅ Pytest-style test runner for langchain projects

Zero-configuration way to expose LangChain/LangGraph agents as autonomous services with webhooks, cron, and HTTP triggers.

Demo vanilla LangChain4j + Docker Model Runner

A friendly LangChain multi-agent runner.

Medical RAG Question-Answering System built using LangChain, FAISS vector store, PyPDF, and Streamlit. Powered by Mistral open-source LLMs (HuggingFace) with custom context-aware chains. Includes a production-grade LLMOps/AIOps pipeline using Docker, Jenkins CI/CD, Aqua Trivy security scanning, and automated deployment on AWS App Runner.

🚀 Expose your LangChain agents as services with zero configuration; turn scripts into web services using simple wrappers and no infrastructure setup.

LangChain Config-Driven Runner

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langchain alternative in Rust for LimitHub runner

LangChain powered shell command generator and runner CLI

LangChain powered shell command generator and runner CLI

A small, reusable streaming CLI runner for **LangChain v1**

Testing a streamlit chatbot built with LangChain and deployed to AWS App Runner as a container

Some research on how to deploy a Python and Langchain app to GCP App Runner via Container registry

🌐 Expose your LangChain agents as services effortlessly with zero configuration—just wrap with `Runner` to access webhooks and triggers.

Promtior RAG Chatbot — A chatbot that answers questions about Promtior using RAG architecture, built with LangChain, LangServe, and OpenAI. Deployed on AWS App Runner.

This project demonstrates how to deploy a Streamlit web app using Docker, GitHub Actions, Amazon ECR, and a self-hosted runner on AWS EC2. It uses crewai, langchain, and other modern libraries.

🧠 AI-powered codebase assistant that runs 100% locally. Ask questions, edit files, and generate entire projects in any language — powered by Docker Model Runner, LangChain RAG, and FAISS. No API keys required.

A LeetCode-style practice app powered by Generative AI. Learn algorithms and data structures with AI-generated problems, hints, and personalized coaching reports. Built with React + TypeScript + Vite, Monaco Editor, WebWorker test runner, and LangChain.js (in-browser).

Agentic RAG corporativo focado em RH. Evolução do RAG padrão integrando LLM Gemini 2.5, LangChain History-Aware Retriever para memória conversacional profunda entre turnos e Busca Vetorial em Lote (FAISS). Dockerizado e pronto para AWS App Runner.

A lightweight agentic AI project that generates full applications from natural-language prompts (e.g., “create a calculator web app”). Built using LangChain, LangGraph, and GPT open-source models, with local Docker model runners for development and inference—no external providers needed.

Stravify is an AI-powered analytics dashboard that allows runners to chat with their Strava data using natural language. Built with a modern React frontend and a robust FastAPI backend, it leverages Google's Gemini models via LangChain to analyze your running history dynamically.

🚀 Unleash AI-powered document Q&A with this slick system! Built with AWS Bedrock's Titan & LLaMA 3, LangChain, and a Streamlit UI, it transforms PDFs into insightful answers. Dockerized for easy local runs or scalable AWS App Runner deployment. Dive into smart document exploration!