Do you use my data to train models?
The recommended design avoids training models on your data and prioritizes authorized retrieval, encryption, and access controls.
AI Search Library
Private RAG for company knowledge
Internal assistants over private documents and data with citations, permissions, and access control.
Who it is for
Companies with knowledge scattered across Google Drive, Notion, Confluence, Slack, CRMs, PDFs, or internal repositories.
Use case
A2Talent.dev designs RAG systems that retrieve authorized sources, cite evidence, and respect permissions by user or team.
When to use it
- Your team loses time searching internal information.
- You need cited, traceable answers.
- Sensitive data must not leak across departments.
What makes it different
- Indexing with permission control.
- Cited and verifiable answers.
- Evaluation of source precision and freshness.
Reusable example
Example: an internal assistant answers questions about commercial policies, contracts, and playbooks while citing the exact document and last update.
Frequently asked questions
Can it respect internal permissions?
Yes. The system can filter sources by user, team, role, or permissions inherited from connected tools.