Natural Language Processing (NLP) techniques were used to transform your search into an intelligent experience. Find exactly what you need through semantic searches. This is not a real sales page. It's a research project for learning purposes.
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Report
AI Agent Architecture and Prompt Engineering
Overview
This system is an e-commerce assistant that transcends traditional keyword search. It uses NLP (Natural Language Processing) to decode the user's semantic intent, enabling complex and contextualized searches.
Agent Engineering
Intent Agent: An LLM stage analyzes the query to identify categories, extract budgets, and filter noise.
RAG (Retrieval-Augmented Generation): The assistant queries a real database before generating recommendations, avoiding hallucinations.
Tech Stack
Frontend
JavaScript (Vite)Responsive Design
Backend
Python (FastAPI)LangChainGemini AI APIPydanticPandas
Focus on AI Engineering
The project demonstrates the integration of LLMs in production workflows, handling token limitations and ensuring a responsive interface for recruiters and engineers.