Knowvera turns private documents into a secure AI knowledge workspace.
Upload PDFs, DOCX, TXT, Markdown, and CSV files. Supabase Storage keeps originals private, Postgres and pgvector store searchable chunks, and grounded AI answers cite the source page or section.
Step 1
Upload file
Step 2
Extract and chunk text
Step 3
Generate embeddings
Step 4
Ask with citations
Try a sample question
The audit found weak access controls and exposed credentials.
Source: Security Audit.pdf · page 12
Private storage
Built into the MVP so every workspace, row, file, and search result has authorization around it.
RLS isolation
Built into the MVP so every workspace, row, file, and search result has authorization around it.
Vector search
Built into the MVP so every workspace, row, file, and search result has authorization around it.
Drag upload
Built into the MVP so every workspace, row, file, and search result has authorization around it.
One secure workspace, many document-heavy workflows
Students
Study lecture notes and trace every answer back to the source.
Teams
Turn internal policies and product documentation into shared knowledge.
Job seekers
Compare resumes, job descriptions, and recurring skill requirements.
Researchers
Search papers by meaning and retrieve findings with page-level context.
Architecture
Start small, scale with your workspace
Clear portfolio pricing for individuals and collaborative teams.