Embedding-Modelle
Models that turn text into vectors. Dimensions, context limits and licence terms differ sharply between them, and the choice fixes the quality of every retrieval system built on top.
8 technologies
- OpenAI Text Embedding 3 model Hosted embedding models with configurable output dimensions.
- Cohere Embed model Hosted multilingual embedding model with separate query and document modes.
- BGE model Embedding model family that ranks well on retrieval benchmarks.
- GTE model Embedding model family from Alibaba, trained for retrieval and ranking.
- Jina Embeddings model Embedding models designed around long inputs and multilingual coverage.
- E5 model Text embedding model family trained on weakly supervised pairs.
- Nomic Embed model Open embedding model with an auditable training set and long context.
- Instructor model Embedding model that takes a task instruction alongside the text.