{"repo":"upsidelab/enthusiast","free":true,"listed":false,"github":"https://github.com/upsidelab/enthusiast","clone":"git clone https://github.com/upsidelab/enthusiast.git","description":"Open source AI agent for e-commerce","language":"Python","stars":167,"topics":["ai","ecommerce","llm","rag","agentic-ai"],"license":"MIT","category":"ai-agents","readme_excerpt":"enthusiast. Production Ready Agentic AI Framework for E-commerce. Website Installation Guide View Docs Introduction Enthusiast is an open-source toolkit for building AI-powered agentic workflows. It provides tools like Retrieval-Agumented Generation (RAG), vector search and workflow orchestrator. You can connect it to cloud-based models, like OpenAI, as well as self-hosted deployments of Mistral, LLaMA or Deepseek. Enthusiast helps you cut down time, cost and complexity when building AI-powered tools with customized agents - for smart information search, customer support, content generation or knowledge base automation. Enthusiast provides validation and evaluation components, to reduce hallucinations and ensure responses are grounded in actual data. Getting Started Get started with Enthusiast by either: - Installing Enthusiast with or without Docker (See the installation guide) - Booking a live demo to see it in action Example use cases - AI-Based Product Discovery Enable natural-language product search. Users describe requirements in plain terms, and the agent retrieves results from your indexed catalog. - User Manual Search Provide precise answers from technical documentation and manuals. - Order Intake Convert unstructured inputs — such as scanned purchase order documents or notes - into e-commerce orders. - Product Catalog Enrichment Extract product descriptions, attributes, or translations from unstructured product sheets. Main Features - Pre-built integrations with pop","default_branch":null,"files":null,"tree":[],"storefront":"/r/upsidelab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/upsidelab/enthusiast/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}