cr21/RAG-MCP
Simple RAG implementation from scratch using MCP, focusing on Perception, Memory, Decision and Action
This project helps e-commerce businesses provide more accurate and context-aware product search. By taking a customer's natural language query, it intelligently processes the request, remembers past interactions, and uses a standardized protocol to retrieve product information from various data sources. The result is a highly relevant product recommendation, making it ideal for online retailers and customer support teams.
No commits in the last 6 months.
Use this if you need an e-commerce search solution that understands nuanced customer requests and dynamically pulls product details from different systems to offer precise recommendations.
Not ideal if your primary need is simple keyword-based search without requiring advanced conversational context or integration with multiple backend data sources.
Stars
13
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
May 19, 2025
Commits (30d)
0
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