MCP-project
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π AI E-Commerce Shopping Assistant
An AI-powered E-Commerce Shopping Assistant built using Generative AI, Agentic AI, MCP (Model Context Protocol), RAG, LangGraph, ChromaDB, Python, and Streamlit.
The application allows users to interact with an AI shopping assistant using natural language. The AI agent understands the user's request and uses MCP tools to search, compare, and retrieve product information.
π Features
π Search products using natural language
π° Check product prices
β View product ratings
βοΈ Compare products
π― Get product recommendations
π§ AI-powered decision making
π MCP-based tool integration
π RAG-based product retrieval
ποΈ ChromaDB vector database
π€ LangGraph agent workflow
π¬ Interactive Streamlit interface
Related MCP server: Enneagora E-commerce MCP Server
π§ Technologies Used
Technology | Purpose |
Python | Main programming language |
Generative AI | Natural language generation |
Agentic AI | AI decision making and tool usage |
MCP | Connects AI with external tools |
LangChain | LLM application framework |
LangGraph | Agent workflow and state management |
RAG | Retrieve relevant product information |
ChromaDB | Vector database |
Hugging Face | Text embeddings |
Groq | Large Language Model |
Pandas | Product data processing |
Streamlit | Web interface |
ποΈ Architecture
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β Frontend β
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β AI Agent β
β LangGraph β
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β MCP Client β
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Product Search Product Info Comparison
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Product Data
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RAG
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ChromaDB
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LLM
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Maintenance
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