LLM Integration & Fine-tuning

LLM Integration & Fine-tuning

Embed intelligence into your existing product. We integrate GPT-4, Claude, Gemini, and open-source models — fine-tuned on your domain data for maximum accuracy. Your product gets smarter without a rebuild.

Agent Runtime
LIVE
RAG Retriever

FAISS top-5 fetched

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Embedding Pipeline

Chunk 847 vectorized

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Inference Gateway

Token usage: 1,842

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Activity Log
Model Integration Pipelinen8n pipeline
Ingest
Your docs & domain data
Active
Embed
Vector embeddings
Fine-tune
Domain adaptation
Generate
LLM inference layer
Refine
RLHF & eval loop
How It Works

From kickoff to production.

01

Model Selection

We evaluate GPT-4, Claude, Gemini, Llama, Mistral, and specialized models against your use case — balancing accuracy, latency, and cost.

02

Data Preparation

We clean, format, and augment your domain data into training sets and retrieval corpora optimized for your specific tasks.

03

Fine-tuning & RAG

We fine-tune the selected model on your data and build a RAG pipeline for real-time knowledge retrieval — so answers stay current.

04

Production Integration

We embed the model into your product via a clean API layer, with streaming, caching, fallback routing, and usage monitoring built in.

Ready to get started?

Let's build your LLM Integration & Fine-tuning solution.

Book a free 30-minute strategy call. We'll map out exactly what to build and how long it takes.

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