What we do
We build AI assistants that perform semantic search over your corporate documents (manuals, contracts, reports, knowledge bases) and answer questions while citing their sources. Instead of searching for the right document for hours, your staff finds it in seconds, together with its basis.
Our approach
The heart of the solution is RAG (retrieval-augmented generation): the model speaks not from memory but from the actual documents retrieved, and ties every answer to a source. This markedly reduces hallucination. The keys to a good result are context engineering and quality semantic search.
Use cases
- Internal knowledge assistants and help desks
- Document-grounded customer support bots
- Contract and document search
- Querying technical manuals and procedures
Why EcoFluxion?
RAG and semantic search are the core of our own product İçtiHub; we built this architecture over millions of Turkish legal texts. We adapt the same robust infrastructure to your data. We described the method in grounding Turkish data with RAG.