On-Premise RAG and Document Search
Ask questions across your contracts, policies and reports in plain language. Answers come from your own documents, link back to the source and never leave your network.
What you get
Your sources
We connect the places your documents live, such as file shares, SharePoint, email archives or exports from internal systems.
OCR for scans
Scanned PDFs and images are read into text, so old paper archives become searchable.
Semantic search
Search by meaning, not exact words, across every indexed document.
Answers with sources
Every answer quotes the passages it used and links to the document and page.
Access rules
Results follow your departments or existing permissions, so people only see what they may read.
Kept up to date
New and changed documents are picked up on a schedule you set.
How it works
Collect
Documents are read from the sources you choose.
Index
Text is split into passages and turned into embeddings stored in a vector database on your servers.
Retrieve
A question is matched against the index and the closest passages are picked.
Answer
The language model writes an answer from those passages and cites them.
Documents it handles
Common office and archive formats, in any major language. Multilingual embeddings let a question in one language find a passage written in another.
Where teams use it
Policies and procedures
Staff ask how a process works instead of searching shared folders.
Contracts
Find clauses, dates and obligations across agreements, with the exact wording.
Reports and archives
Find what an old report or memo said without knowing which folder it is in.
Other services
RAG needs a model to write the answer. Run it privately or mask data first.
Who uses it
Teams with large document archives.
Frequently asked questions
Have a question that is not here?
What should we include in a search pilot?
Choose a small, representative archive and questions staff regularly need answered. Include the source passages you expect to find so you can judge both retrieval and the final answers.
Can we begin with a single department’s documents?
Yes. Start the pilot with one team and the sources it needs. Confirm the source connections and permissions before adding more departments.
What access information should we provide before indexing?
Identify the departments or permission groups that may read each source. Include restricted documents in the pilot so access rules can be checked alongside search quality.
How should we test search across Arabic and English?
Use questions and source documents in both languages, including cases where the question and answer passage use different languages. Review the retrieved passages before judging the generated answer.
What should happen when a source document changes?
Agree how often the index should pick up new and changed documents. During the pilot, update a sample document and check that search returns the revised passage after the next scheduled refresh.
Make your documents searchable
Tell us where your documents live and who needs answers from them.