Enterprise AI RAG · India
AvailableYour Enterprise Knowledge. Instant Answers. Complete Control.
Transform scattered enterprise documents into an intelligent private knowledge assistant that delivers source-backed answers — running in your private cloud or on-premise.
- Answers cite their sources
- Role-based access & SSO
- Private cloud or on-premise
The challenge
When knowledge is everywhere, answers are nowhere
- Knowledge scattered everywhereDocuments live across SharePoint, file shares, intranets and databases — with no single place to ask.
- Hours lost searchingEmployees spend excessive time hunting for the right document, page or clause.
- Inconsistent answersDifferent departments give different answers to the same question.
- Confidential data, public AISensitive information is unsuitable for public AI tools — so teams either take the risk or go without.
- Outdated versionsOld document versions keep circulating and cause errors.
Capabilities
A private knowledge assistant for the whole organisation
Retrieval-Augmented Generation (RAG) finds the relevant passages in your own documents and answers with citations, using open-source language models on infrastructure you control.
Available now9
- Private knowledge assistantAsk questions in plain language and get answers grounded in your own documents.
- Source citationsEvery answer links to the documents and passages it was drawn from, so people can verify it.
- Semantic search with QdrantDocument indexing and semantic search on the Qdrant vector database.
- Open-source language modelsOpen-source LLMs run in your environment — no dependence on a public AI service.
- OCR for scanned documentsScanned PDFs and images are read with OCR, so paper archives become searchable.
- Enterprise connectorsSharePoint, file-share, intranet and database connectors bring your sources together.
- Role-based access & SSOPeople only get answers from documents they are allowed to see, with Single Sign-On.
- Audit loggingQuestions, answers and access are logged for oversight and compliance.
- Private cloud or on-premiseDeploy in your private cloud or in your own data centre.
How it works
From scattered documents to cited answers
Five steps, all inside your environment.
Step 1 of 5
Connect documents
Connect SharePoint, file shares, intranets and databases — with their existing permissions.
Why ADGTech
Built for confidential enterprise knowledge
- In-country deploymentKeep data in India — deploy on-premise or in an India cloud region.
- Your data stays yoursDocuments, embeddings and models run in your private cloud or on-premise.
- Answers you can verifyCitations show exactly where each answer came from.
- Access respectedRole-based access control and SSO keep answers within each person's permissions.
ADGTech products provide technical controls that support your compliance programme. Regulatory compliance depends on your configuration, processes and assessment — it is not guaranteed by software alone.
Get started
See Enterprise AI RAG on your kind of documents
Tell us which sources you want to search, roughly how many documents, and where the system must run.
- A live demo tailored to your use case
- Speak directly with a specialist
- Pick a meeting time right after you submit
Prefer email? contact@adgtech.ai
FAQ
Questions, answered
Is Enterprise AI RAG available today?
Yes. Enterprise AI RAG is available now. You can request a demo, or start with a pilot on a selection of your own documents.
Where does it run?
In your private cloud or on-premise. It uses open-source language models and the Qdrant vector database, so your documents are not sent to a public AI service.
Which sources can it connect to?
SharePoint, file shares, intranets and databases, plus scanned documents via OCR. We confirm the connectors for your environment during scoping.
How do we know an answer is right?
Every answer cites the documents and passages it was drawn from, so people can open the source and check it.
Do you work with organisations in India?
Yes. Enquiries from India are routed to the ADGTech team covering India, who reply within local business hours. Solutions can be deployed so data stays in India, helping you meet obligations under the Digital Personal Data Protection Act, 2023.