Superlinked Description
Integrate semantic relevance alongside user feedback to effectively extract the best document segments in your retrieval-augmented generation framework. Additionally, merge semantic relevance with document recency in your search engine, as newer content is often more precise. Create a dynamic, personalized e-commerce product feed that utilizes user vectors derived from SKU embeddings that the user has engaged with. Analyze and identify behavioral clusters among your customers through a vector index housed in your data warehouse. Methodically outline and load your data, utilize spaces to build your indices, and execute queries—all within the confines of a Python notebook, ensuring that the entire process remains in-memory for efficiency and speed. This approach not only optimizes data retrieval but also enhances the overall user experience through tailored recommendations.
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Integrations
Company Details
Company:
Superlinked
Year Founded:
2021
Headquarters:
United States
Website:
superlinked.com
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Customer Support
Online Support
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