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Custom fine-tuning, RAG pipelines, prompt engineering, and API orchestration for large language models. We embed intelligence into your existing products - search that understands intent, summarization that saves hours, classification that scales, and generation that matches your brand voice. No black boxes, full control.
Concrete outputs you receive with every llm integration engagement.
RAG pipeline with vector database (Pinecone/pgvector)
Prompt engineering and evaluation suite
Multi-provider fallback and routing logic
Structured output parsing and validation
Cost monitoring and optimization layer
Common scenarios where llm integration creates the most impact.
Products adding natural language search to existing databases
Documentation platforms that need auto-summarization
Content platforms automating tagging and classification
Let's talk about your project. Whether you have a detailed brief or just a rough idea, we'll help you figure out the best approach.