Model catalogue · BAAI
BGE Embedding
The most widely used open embedding model for multilingual search: it delivers dense, keyword-style and passage-level representations from a single model and stays economical enough to run alongside the language model on the same graphics card. For professional secrets the chain is closed on our route in dedicated operation on reserved hardware, where only the data centre operator participates and is bound via section 203(4). The Open Telekom Cloud also offers the model, under its own standard agreement with its customers. Via IONOS the product-specific confirmation of the confidentiality clause is so far missing.
Everything section 203 requires is settled, including the provider's confidentiality undertaking, and nothing is stored at the provider, apart from a technical cache of a few minutes for Claude (zero retention). You do not have to clarify anything further.
What it is good for
- Available via IONOS and on the dedicated instance; the Open Telekom Cloud offers it as well
- 0.6 billion parameters in BF16, around 4 GB - runs alongside the language model on the same card
- Three representation types from one model, multilingual, under Apache 2.0
Where it stops
- Embedding is a side role - it arranges the corpus, it answers no question
- The entire file corpus runs through this model, not just the current request - the contractual check weighs more heavily here than for an occasionally used language model
- No legal fine-tuning; judging the relevance of hits stays with the practitioner
Status through us
The same model, procured differently, is a different legal position. The status above refers to procurement through us; processing takes place in Germany.
Which route carries it, with which instrument and under which condition, we set out in full to the firm before it commissions us - section 203(4) requires that the chain can be checked, not that it is published. The full matrix, with the sources behind every route, can be requested in the German catalogue after confirming your e-mail address, and we go through it in the conversation.
Is BGE Embedding the right fit?
We go through your tasks and the route that carries them - and say plainly where it does not.
Arrange a conversation