# Semantic retrieval optimization

FRIDA is a general-purpose text embedding model fine-tuned with full parameters based on the T5 denoising architecture, supporting Russian and English text processing.

NV-Embed-v2 is an embedding model based on sentence-transformers, excelling in multiple MTEB benchmarks and suitable for various natural language processing tasks.

A general-purpose text embedding model developed by Salesforce, excelling in various NLP tasks

bge_micro is a lightweight model focused on sentence similarity calculation, suitable for various natural language processing tasks.

A multilingual sentence encoder based on BERT architecture, supporting sentence embeddings and similarity computation for 15 languages, serving as a distilled version of the original LaBSE model.