Domain 2: Data Implementation & RAG โ
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Embeddings โ
To perform RAG, you must convert text into numerical vectors.
Embeddings & RAG
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What are Embeddings?
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Numerical representations of text
Similar meanings = similar vectors
Service: Vertex AI Embeddings API.
Similar meanings = similar vectors
Service: Vertex AI Embeddings API.
- Service: Vertex AI Embeddings API
- Analogy: A library where books with similar themes are placed on the same shelf
Vertex AI Vector Search โ
Formerly known as Matching Engine.
- Function: A high-scale, low-latency database for searching through millions of embeddings
- Integration: Essential for grounding LLMs in your own corporate data (PDFs, Databases)