Enterprise Search
Ask questions of your own documents and get answers with sources
Services › AI Development › Enterprise Search
Companies hold years of contracts, policies, reports and tickets that nobody can find. Enterprise search with retrieval-augmented generation (RAG) lets people ask a plain question and get an answer drawn from your documents, with the source shown so it can be checked.
We have built RAG systems on Azure OpenAI, LangChain and vector stores such as FAISS and Azure AI Search, handling millions of documents with sub-second response. We put as much effort into permissions and evaluation as into the model, because an answer that leaks a confidential document is worse than no answer.
What we do
- Document ingestion from SharePoint, drives, ticketing tools and databases
- Chunking, embedding and vector search tuned for your content
- Answers with citations and confidence signals
- Permission-aware retrieval so users only see what they are allowed to see
- Evaluation sets and feedback loops to keep quality up
This is for you if
- Staff spend time searching for policies, past proposals or technical documents
- New joiners take months to learn where things are
- Support teams answer the same questions repeatedly
- Knowledge leaves when experienced people leave
How we work
- 1
Scope
Choose the document sets and user groups for the first release.
- 2
Ingest
Connect sources, clean and index the content.
- 3
Tune
Build an evaluation set and improve retrieval until answers are reliable.
- 4
Launch
Roll out with usage analytics and a feedback button.
Technologies we use
- Azure OpenAI
- LangChain
- FAISS
- Azure AI Search
- Pinecone
- Claude
- Python
Common questions
Does our data leave our environment?
No. We deploy inside your cloud account and can use private model endpoints.
How do you stop wrong answers?
Grounding in retrieved text, citations on every answer, and an evaluation set that we test against on every change.
Can it search across systems?
Yes. Multiple sources feed one index with permissions preserved.
Ready to talk about Enterprise Search?
Call us or send a message and we will come back within one working day.