This is a submission for the Algolia Agent Studio Challenge: Consumer-Facing Non-Conversational Experiences
What I Built
A apparel shopping site with 2 pages (homepage and product details page) and a chatbot assistanting customers looking for products via conversation.
Demo
https://apparel-web.vercel.app/
Source code: https://bitbucket.org/hdang2709/apparel/src/main/
How I Used Algolia Agent Studio
I set up an application in Alogolia, create a new index and use the apparel sample dataset which has 2000 items.
I configure searchable attributes and related facets.
- title
- description
- product_type
- color
- categories
- price
- tags
Leverage InstantSearch.js widget to build the UI for list products, refinement, search box, auto complete, chat, etc.
With a traditional shopping site, customers use existing filter widgets to find their products. I added a tweak to let customers using a prompt to filter products by leveraging Generative AI in Algolia Agent Studio. I set up 2 agents, one for the chat and one for the filter functionality. The 2 agents are pretty similar, but the filter agent will not response with follow up questions to clarify some details.
Why Fast Retrieval Matters
Algolia agent can form a query based on the user's prompt or conversation. The query is flexible depending on the indexed data, configurable search attributes.
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