Formula / Table / Image
Research preprocessing
We process research documents so AI can use them more accurately.
Solution
Closed Network
RAG
What if a GPT-like LLM could be used in a closed network?It is possible when research materials are processed correctly and a cost-optimized operating structure is designed for teams and departments.
Overview
Using LLMs in closed networks is possible
The key is not only bringing a model inside.Research documents must be made readable by AI, and the hardware and software configuration must be affordable for team-scale operations.
Scope
Research-document processing and team-scale deployment
Closed-network RAG requires both document understanding and realistic infrastructure planning.
Preprocess formulas, tables, images, captions, and document structures for research materials
Tune indexing strategy by document, section, table, and image context
Design cost-optimized hardware and software for team or department units
Consider access control, logs, model serving, vector storage, and document pipelines
Implementation experience for Korea Aerospace Research Institute
Benefits
Why Synetics
Cost Optimized
Team-scale deployment
We avoid excessive hardware and design practical configurations.
KARI
Implemented reference
We have delivered a closed-network RAG implementation for a research institute.
If you are reviewing RAG for research documents in a closed network, we can define preprocessing scope and team-scale operation together.