A clean and modular FastAPI boilerplate designed to kickstart your GenAI project.

Whether you're a beginner exploring LangChain or an advanced practitioner building scalable GenAI applications, this tutorial-style project provides modular examples and hands-on guidance to help you master Generative AI development.

Modular and extensible open source GenAI engine

Unified solution for SemEval-2026 Task 13: GenAI Code Detection & Attribution. A modular framework covering Subtasks A (Detection), B (Authorship), and C (Mixed-Source Analysis), designed to distinguish and analyze LLM-generated vs. Human code with a centralized pipeline.

Webly is a modular, GenAI-powered web crawling and knowledge extraction framework. It crawls any website, understands its content using LLMs, and converts it into structured, searchable, and embeddable data — enabling intelligent search, chatbots, or RAG pipelines.

End-to-end GenAI framework with built-in evaluation, security, and modular productivity tooling.

promptfit - Modular toolkit for optimizing LLM prompts: estimate token usage, rank by semantic relevance, and compress with LLMs to fit any token budget. Perfect for RAG, few-shot, and instruction-heavy GenAI workflows.

A GenAI framework for running modular agents, written in C#

Community‑driven microfrontends that bring modular GenAI capabilities to OpenMRS.

"A modular and clean research framework for Generative AI, based on popular open-source repositories like Transformers, TRL, Diffusions, and CleanRL."

Production-ready vanilla GenAI infrastructure stack featuring Supabase + Neo4j + Redis + Ollama + SearxNG + Local Deep Researcher + FastAPI + LangChain + LangGraph + ComfyUI + n8n + Open-WebUI + Kong in a modular Docker Compose architecture.

Learn LangChain by building modular GenAI agents that think, remember, and evolve. This repo is your launchpad—where logic meets storytelling, and every chain is a step toward clarity, creativity, and cosmic understanding.

The GenAI Health Buddy is a scalable, modular, and blends the most advanced AI technology with real-world healthcare requirements. It greatly enhances patient comprehension, particularly in underserved or rural populations, and encourages safe medication use.

SparkGen✨ is an open-source GenAI accelerator template designed to streamline the creation of Generative AI projects. It provides a comprehensive and modular project structure that integrates best practices in software development, deployment, and responsible AI considerations.

A full-stack GenAI assistant that retrieves & summarizes consumer complaints using semantic search and LLMs. Built with FastAPI, FAISS, and Hugging Face Transformers, and monitored in real time using Prometheus and Grafana. Includes a modular Streamlit dashboard with hierarchical filtering and UI design. observability, backend, and NLP engineering.

GenAI-SQL is a modular, extensible suite of AI-powered tools for automating SQL code improvement, documentation, and validation. Built for developers, analysts, and data engineers, it leverages Azure OpenAI (GPT-4o) to analyze, refactor, comment, explain, test, and audit SQL — all within a secure, asynchronous, and HIPAA-compliant framework.

A general pipeline for GenAI, intended as a modular boilerplate for various runners/APIs/models/etc

A modular AI orchestration system built with FastAPI — where autonomous GenAI agents coordinate tasks across containerized microservices (File, Git, Docker, and Terminal tools

🤖 GenAI: A modular LangChain ⚙️ playground with real-world examples on prompts 📝, agents 🧠, RAG 🔍, embeddings 🧬, and multi-model chat apps 💬.

🔧 A modular, local-first LLM playground using TinyLLaMA and Ollama — built to explore GenAI for contact center use cases with CLI and Streamlit Chat UI.

🛍️ E-commerce product title analysis using GenAI & ML | Generate descriptions with T5 + Predict categories with TF-IDF | Dual approach: Single notebook + Modular architecture | Turkish NLP Project

Advanced AI Chatbot: Streamlit + LangChain + Google Gemini. This repo demonstrates a professional LLM pipeline featuring real-time trace tracking with LangSmith, modular prompt templates, and adjustable model parameters for rapid GenAI experimentation.

Enterprise-ready GenAI website leveraging Google Cloud's Vertex AI and Gemini models to deliver intelligent web experiences. Features modular Python architecture, containerized deployment, static asset management, and scalable cloud-native design for production environments.

Beast AI is a modular Python-based voice assistant integrating speech recognition, OpenAI-powered reasoning, web automation, and real-time information retrieval. Designed for extensibility and practical automation, it serves as a foundation for intelligent personal assistants and future GenAI applications.

IndiMorph is an AI-powered, shape-shifting mobility platform that enables modular, multi-terrain vehicles for smart transport, defense, and disaster response. Driven by GenAI, Edge AI, and mechatronics, it adapts in real time across land, air, and mission needs.

Sleek Streamlit chat app for Google Gemini (Files API). Dark, gradient UI with model picker, usage dialog, file/image/audio/PDF attach & preview, chat history, image persistence, robust error handling, and token usage tracking. Supports streaming replies and modular backend via google-genai.

A production-grade implementation of modular AI agents using LangGraph, combining deterministic logic, LLM decision-making, and Retrieval-Augmented Generation (RAG). This project demonstrates intelligent routing, memory-safe state management, and multi-agent orchestration with clean architectural practices—ideal for portfolio showcases, GenAI demos

LinkLens is a modular, GenAI-Powered Interest Discovery Framework that captures, analyzes, and leverages user behavior using a graph-based approach. Designed for scalability and deep personalization, LinkLens turns raw user interactions into meaningful, real-time recommendations by modeling behavior as relationships and patterns.

This project implements a scalable GenAI pipeline that integrates RAG, multi-vector retrieval, and a modular retriever-store architecture to enable contextual Q&A over multimodal structured PDFs. It optimizes retrieval relevance and input summarization using state-of-the-art LLMs and best MLOps practices, supported by Flask backend.

A modular prompt engineering toolkit built on official LangChain APIs. Includes reusable utilities for prompt management, multi-provider LLMs, evaluation, optimization, and a powerful CLI for rapid experimentation and integration. Use as a Python library, CLI, or Web UI to streamline prompt workflows in any GenAI pipeline or product.