Quick summary: "Chat with your documents" tools use a technique called RAG: the system finds the most relevant passages in your files and lets the AI answer from them, citing where each fact came from. Done locally, it gives you fast answers without uploading confidential files anywhere.
The everyday problem
Knowledge lives in hundreds of folders: policies, contracts, technical drawings, price lists, email threads and scanned paper. Finding one clause or one number can take 30 minutes or more, and new staff keep asking the same questions. Uploading everything to a public AI tool solves the search problem but creates a data-control problem.
How private document chat works
First, indexing: documents are read (scans go through OCR), split into small passages, converted into numerical vectors and stored in a local vector database. Second, answering: when someone asks a question, the system retrieves the best-matching passages, re-ranks them and passes them to the language model, which writes an answer and lists the sources. Both steps run on your own machine.
Why citations matter
An answer without a source is a guess you cannot check. With citations, an employee can open the exact document and confirm the figure before sending it to a customer. A good system also says "not found" when the documents do not contain the answer, instead of inventing one.
What to look for
Support for the formats you actually use: PDF, Word, Excel, PowerPoint, scans, images, email and .zip archives. A mode that answers only from company documents. Permissions by department, so HR files are not visible to sales. Feedback buttons so the system learns from thumbs up and thumbs down. And export: turning an answer into a report or slide deck without copy-paste.
How DABO AI does it
DABO AI runs the whole pipeline — OCR, indexing, retrieval and answering — on your server or workstation. Every answer includes its sources, and the assistant can turn a conversation into Word, Excel, PowerPoint or PDF files with charts and your company logo. The Free plan covers up to 5 users and 100 documents, which is enough to test on a real project folder. Larger plans add unlimited documents, a shared company knowledge base and department-level permissions.
Practical tips for a first test
Pick one painful use case, such as "find the warranty terms in our supplier contracts" or "what is the latest approved price for product X". Load 50 to 100 real documents, ask the questions your team asks every week, and check whether each answer points to the right page.
Frequently asked questions
Do I have to train the AI on my documents? No. RAG retrieves passages at question time, so new documents are usable as soon as they are indexed — no model retraining.
Can it read scanned paper? Yes, DABO AI reads scans and images with OCR.
Will my documents leave the company? No. Indexing and answering both run locally; nothing is uploaded.