Definition
A neural network component, typically based on Vision Transformer (ViT) architectures, that maps raw pixel data into a high-dimensional latent space to produce visual embeddings compatible with an LLM's transformer blocks. In RAG pipelines, it enables the indexing and retrieval of visual information by aligning image features with textual semantics.
Not an image compressor or codec; it is a feature extractor that converts pixels into semantic mathematical vectors.
"A Cartographer’s Lens: Translating a raw landscape into a coordinate-based map that a navigation system (the LLM) can use to find directions."
- Multimodal RAG(System Architecture)
- Projection Layer(Component (Aligns visual tokens to text dimensions))
- Contrastive Learning(Training Methodology)
- Vector Database(Storage for Encoder Outputs)
Conceptual Overview
A neural network component, typically based on Vision Transformer (ViT) architectures, that maps raw pixel data into a high-dimensional latent space to produce visual embeddings compatible with an LLM's transformer blocks. In RAG pipelines, it enables the indexing and retrieval of visual information by aligning image features with textual semantics.
Disambiguation
Not an image compressor or codec; it is a feature extractor that converts pixels into semantic mathematical vectors.
Visual Analog
A Cartographer’s Lens: Translating a raw landscape into a coordinate-based map that a navigation system (the LLM) can use to find directions.