This project aims to integrate Google's PaLM (Pathways Language Model) with Shopify's API to create a sophisticated Language Model (LLM) capable of providing real-time product information. The system is designed to understand and respond to user queries about product details, prices, and availability, directly interacting with a Shopify store's database.
Fetches current product details, prices, and stock availability from Shopify.
Utilizes Google PaLM for understanding and processing user queries.
Offers an intuitive way for users to inquire about products using natural language.
Seamlessly integrates with Shopify API to access and retrieve product information.
Gracefully manages unclear queries, product unavailability, or API downtime, providing user-friendly feedback.
Google PaLM: For processing and interpreting natural language queries. Shopify API: To access real-time data about products, prices, and availability. Python: Primary programming language used for developing the integration and handling backend operations.
Query Interpretation: The system uses Google's PaLM to interpret user queries about products. Shopify API Interaction: Based on the interpreted query, the system interacts with Shopify's API to fetch relevant product information. Response Generation: The system formats the retrieved data into a concise, understandable response and communicates it back to the user. Continuous Learning: The system constantly improves its query understanding and response accuracy based on user interactions.