The Problem
Your team spends hours searching through documents. Your AI chatbot makes up answers. Customers get frustrated when they can't find information that exists somewhere in your systems.
Generic LLMs don't know your business. They hallucinate confidently, citing sources that don't exist. And you can't trust answers you can't verify.
What RAG Solves
Retrieval Augmented Generation connects your AI to your actual data. Instead of guessing, the AI searches your documents, finds the relevant sections, and answers with verifiable sources.
How it works:
- Your documents get converted into searchable vectors (fast and cheap)
- When someone asks a question, the system finds the most relevant passages
- Only these relevant sections go to the AI—no hallucination, no noise
- Every answer comes with sources you can check
The result: An AI assistant that knows your business as well as your best employee—but answers instantly, 24/7.
How We Help
We build RAG systems tailored to your data and use case:
- Custom Pipeline Development: From PDFs to databases to wikis—we connect it all
- Model Optimization: Select and fine-tune embedding models for your domain
- Source Attribution: Every answer linked to the original document
- Cloud Deployment: Production-ready implementation in your preferred environment