AI-powered document intelligence

Ask your documents anything.
Get answers you can trust.

DocuMind turns your team's PDFs and Word docs into a searchable knowledge base. Ask questions in plain language and get grounded answers with citations — no hallucinations, no digging through files.

Q3-vendor-agreement.pdf
What's our notice period for cancellation?
Either party may cancel with 60 days' written notice before the renewal date.
Source 1 · §4.2Source 2 · §4.4

What we're building

A multi-tenant SaaS where organizations upload internal documents and their team members ask questions in natural language — and get answers grounded in those documents, with source citations.

The problem

Teams have knowledge locked inside unstructured documents. Keyword search fails the moment your phrasing doesn't match the document's phrasing — so answers stay buried.

The solution

DocuMind uses semantic vector search to match by meaning, not keywords, then feeds the matching chunks to an LLM to generate a grounded, cited answer — no hallucinations.

Everything you need to chat with your documents

Built on retrieval-augmented generation, so every answer stays tethered to your team's actual documents.

Semantic Search

Search by meaning, not keywords. pgvector-powered similarity search finds the right passage even when your question doesn't match the document's exact wording.

Grounded, Cited Answers

Every answer is generated strictly from retrieved passages, with clear source citations. If it isn't in your documents, DocuMind says so instead of guessing.

PDF & DOCX Support

Upload PDFs and Word documents directly. DocuMind extracts the text, splits it into chunks, and embeds it automatically — no manual prep required.

Built for Teams

Multi-tenant from the ground up. Each organization's documents, conversations, and usage stay isolated, with role-based access for admins and members.

Real-time Streaming

Answers stream in token by token as they're generated, powered by Google Gemini — so you're reading a response, not staring at a spinner.

Usage Visibility

Track embedding and chat token usage per organization, with rate limiting built in from day one to keep costs predictable.

How it works

From upload to answer in four steps.

01

Upload

Drag and drop a PDF or Word document into your workspace.

02

Ingest & Embed

DocuMind extracts the text, splits it into overlapping chunks, and generates a vector embedding for each one.

03

Ask

Type a question in plain language, right alongside the document.

04

Get a Cited Answer

DocuMind retrieves the most relevant passages and streams back an answer with clear source citations.

Ready to put your documents to work?

Sign in, upload your first document, and start asking questions — grounded, cited, and ready in minutes.

Get Started