Tag: GENAI
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Choosing the Right Database for Retrieval Augmentation Generation (RAG): Vector vs. Graph
In the era of Large Language Models (LLMs), the search for generating responses with relevance has led to the emergence of Retrieval Augmented Generation (RAG). As LLMs are trained on large amounts of data available in the public domain until a specific date, this poses two problems: One is that it won’t be able to…
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Revolutionizing E-commerce Product Discovery with MLOps: A Deep Dive into Continuous Learning with Vertex AI (draft2)
In the dynamic realm of e-commerce, where user preferences are constantly evolving, staying ahead of the curve is essential for success. Imagine an “XYZ” e-commerce company that has developed a context-based search engine for product discovery, leveraging machine learning (ML) models. Initially, the search engine performs admirably, but as user search patterns change over time,…
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The Evolving Search: Why MLOps is a Must-Have for Adaptive Product Discovery in E-Commerce(draft-1)
In the ever-evolving world of e-commerce, a well-functioning product discovery engine is the cornerstone of customer satisfaction and business growth. Imagine “xyz,” a leading e-commerce company, that has invested in a sophisticated context-based search engine powered by a machine learning model. This model excels at understanding user queries and surfacing relevant products based on search…