Custom Models for RAG Systems
Train custom embedding, reranking, and generation models optimised for RAG pipelines. We fine-tune models that improve retrieval accuracy and response quality for your domain.
RAG Implementation Capabilities for Custom Model Training & Distillation
RAG-optimised embedding training
Custom reranker development
Generation model fine-tuning for RAG
Retrieval quality evaluation
End-to-end RAG benchmarking
Use Cases
Domain-tuned embeddings for enterprise RAG
Custom rerankers for improved retrieval precision
Fine-tuned generators for grounded responses
Specialised RAG models for regulated industries
Integration Details
RAG Implementation
Retrieval-Augmented Generation systems that deliver accurate, grounded responses. We solve the hard problems: chunking, retrieval quality, and hallucination prevention.
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.
Related Technologies for Custom Model Training & Distillation
LangChain Development
LangChain Development for Custom Model Training & Distillation
OpenAI Integration
OpenAI Integration for Custom Model Training & Distillation
Anthropic Claude Integration
Anthropic Claude Integration for Custom Model Training & Distillation
Hugging Face Development
Hugging Face Development for Custom Model Training & Distillation
LLM Fine-Tuning
LLM Fine-Tuning for Custom Model Training & Distillation
Computer Vision Development
Computer Vision Development for Custom Model Training & Distillation
Ready to Implement RAG Implementation for Custom Model Training & Distillation?
Let's discuss how we can help you leverage rag implementation within your custom model training & distillation strategy.
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