LangChain DevelopmentCustom Model Training & Distillation

Custom Models Optimised for LangChain Pipelines

Train and distill domain-specific models purpose-built for LangChain chains and agents. We fine-tune models that maximise chain accuracy while reducing latency and cost.

LangChain Development Capabilities for Custom Model Training & Distillation

LangChain-optimised fine-tuning

Chain-aware model distillation

Tool-calling model training

Agent reasoning optimisation

Evaluation harnesses for chain outputs

Use Cases

1

Domain-specific chain models for legal workflows

2

Custom agent models with specialised tool use

3

Distilled models for high-throughput LangChain pipelines

4

Fine-tuned extractors for LangChain document chains

Integration Details

LangChain Development

Expert LangChain development for enterprise applications. We build production-grade chains, agents, and RAG systems that go beyond demos.

OpenAIAnthropicVector databasesEnterprise systemsObservability tools

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 LangChain Development for Custom Model Training & Distillation?

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

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