Embedding Model SolutionsCustom Model Training & Distillation

Custom Embedding Model Training

Fine-tune embedding models on your domain data for superior retrieval quality. We train custom embeddings using contrastive learning and evaluate against your search benchmarks.

Embedding Model Solutions Capabilities for Custom Model Training & Distillation

Embedding model fine-tuning

Contrastive learning pipelines

Domain-specific training data curation

Retrieval quality evaluation

Embedding benchmark development

Use Cases

1

Domain-tuned embeddings for legal search

2

Custom medical embeddings for clinical retrieval

3

Fine-tuned financial embeddings for research

4

Specialised embeddings for technical documentation

Integration Details

Embedding Model Solutions

Embedding model selection, fine-tuning, and deployment. We optimize embeddings for your domain to improve search and RAG quality.

OpenAICohereSentence TransformersVoyage AICustom models

Custom Model Training & Distillation

Training domain models on curated corpora, applying NeMo and LoRA distillation, and wiring evaluation harnesses so accuracy stays high while latency and spend drop.

NVIDIA NeMo MicroservicesHugging Face TransformersLoRA & QLoRADeepSpeed & MegatronRAG Evaluation HarnessesPromptFlow & TruLensWeights & Biases

Ready to Implement Embedding Model Solutions for Custom Model Training & Distillation?

Let's discuss how we can help you leverage embedding model solutions within your custom model training & distillation strategy.

Get in Touch