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Join us for IBM TechXchange Day: AI and Automation
Ashwin Gangadhar • 9 min read
Published Nov 14, 2023 • Updated Nov 15, 2023
One of the challenges of e-commerce applications is to provide relevant and personalized product recommendations to customers. Traditional keyword-based search methods often fail to capture the semantic meaning and intent of the user search queries, and return results that do not meet the user’s needs. In turn, they fail to convert into a successful sale. To address this problem, RAG (retrieval-augmented generation) is used as a framework powered by MongoDB Atlas Vector Search, LangChain, and IBM watsonx.ai.
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