Enterprise RAG with Docling
We turn your documents into structured data and deploy the infrastructure.
Generative AI is only as good as the data it reads. At SIXE, we design, deploy, and optimize RAG pipelines using IBM's technology. We extract value from your most complex PDFs and tables to build secure, 100% on-premise AI assistants.
Why upload your contracts to a public cloud just to use AI?
Turnkey AI solutions force you to hand over your data, accept unpredictable scaling costs, and depend on a vendor that changes the rules whenever they want.
At SIXE, we believe in data sovereignty.
Local Deployment (On-Premise)
Strict GDPR & compliance adherence. Your manuals and financial data never travel across the internet; they are processed within your own infrastructure.
No Hidden Costs
The open-source tools we implement don't charge abusive per-user licenses or bill you for every token processed.
Absolute Traceability
You will know exactly why the AI gave an answer. The system always cites the exact page from which it extracted the knowledge.
From unstructured PDFs to structured knowledge
For an AI not to hallucinate, it needs to read well. Traditional OCR systems fail miserably with tables, columns, and headers. IBM Docling reads documents by understanding their visual structure. It flawlessly extracts information so your RAG database isn't polluted with noise.
How do we build your RAG system?
RAG stands for Retrieval-Augmented Generation. An assistant that, when faced with an employee's question, searches your company's document archive first and then drafts the answer relying only on that verified information.
Step 1: We read everything
We connect Docling to your repositories. We process technical manuals, support tickets, or contracts, splitting them into logical segments ("chunks") that maintain the original context.
Step 2: We build the memory
We store that information in ultra-fast vector databases, ready for the system to query millions of pages in milliseconds.
Step 3: Reliable answers
When in doubt, the system retrieves the exact paragraph, and the Large Language Model (LLM) drafts the solution, providing a direct link to the original source.
Your Enterprise AI, built with Open Source
We build your enterprise platform by integrating the best free software on the market. Modular architectures that evolve with your company and that you fully own.
IBM Docling
The Apache 2.0 licensed engine that reads, classifies, and extracts. It transforms a complex PDF into perfectly structured, noise-free Markdown.
Milvus & Qdrant
Open-source vector databases. They store corporate knowledge and enable searches by meaning and context, not just keywords.
LangChain & LlamaIndex
The industry-standard frameworks. They manage the logic: taking the user's question, fetching the context, and ensuring the AI doesn't hallucinate the answer.
Local LLMs
We deploy secure, open-weight model families (like Llama 3 or IBM Granite). They run on your infrastructure so knowledge never leaves your corporate network.
Ready to bring AI to your own data?
Tell us about the information your team handles (support tickets, engineering manuals, legal regulations...) and we'll design a Proof of Concept (PoC) tailored to your specific use case.
Talk to an expert
