Agentic AI Reference Architecture

Knowledge & Data · Model asset

High-Accuracy General Embedding Model

Model assetKnowledge & DataKnowledge & Dataarc:HighAccuracyEmbeddingModel

A large general-purpose dense embedding model producing high-dimensional vectors for maximum semantic retrieval accuracy on short-to-medium passages.

Responsibility. Encodes text into high-dimensional vectors that capture subtle semantic relationships.

Variant of Text Embedding Model abstract

When to choose. Choose when retrieval accuracy directly drives user experience and passages are short to medium length, justifying higher per-token cost.

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Direct neighbourhood (hover for relationship types)

Relationships

deployed on structural

alternative to variability

Quantitative guidance

As stated by the sources; verify before use.

Classification

Technologies
text-embedding-3-large

Sources

  1. Ch6.1: T. Nguyen, "Embeddings and RAG Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.1. ISBN: 9798244538229.