Text Embedding and Retrieval

Описание: In this video, we explore how text embeddings are created and how they power modern semantic search. You’ll learn:
• How models like BERT and GPT generate embeddings that capture the meaning of text
• What makes embedding-based retrieval different from traditional keyword search
• How OceanBase helps you store and search embeddings efficiently at scale

We also walk through real-world use cases—from document search to customer support—showing how OceanBase’s vector database can improve relevance, speed, and scalability in text-heavy applications.

Whether you’re building AI-powered search, chatbots, or internal tools, this episode will give you practical insights into how vector retrieval works in action.

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