Corporate Knowledge Base and RAG Systems
Implementing secure RAG systems: quick search through internal regulations, instructions, and documents. Confidential information does not leak anywhere.
Who it's for and what tasks it fits
- ✓Companies with complex regulations, numerous procedures, or legal documents
- ✓Technical support for second and third lines
- ✓HR departments that are constantly hiring newcomers
What problem the solution solves
People spend dozens of hours each week searching for the right file on Google Drive, asking colleagues, and rereading 50-page regulations. Information becomes outdated. Newcomers take a long time to get up to speed. And mistakes in compliance cost businesses money — and not a small amount.
Capabilities
Implementation and rollout stages
Audit and Documentation Cleanup
We analyze the structure of documents, removing outdated versions and inconsistencies.
Indexing and Creating Vector Database
We divide texts into meaningful chunks and store them in a vector repository (Qdrant / pgvector).
Setting Up Verification Mechanism
We configure queries to LLM with a strict rule: respond only when there is direct confirmation in the provided context.
Integration into Workspaces
We connect the assistant to Slack, Telegram, or the team's internal web interface.
Input data and required integrations
- ·Repositories: Google Drive, Notion, local document archives
- ·Vector databases: Qdrant, PostgreSQL (pgvector), Pinecone
- ·Where employees use it: Slack, Telegram, or a private web portal
Automation boundaries and limitations
We tell you honestly upfront what the system can't do. It's easier that way than dealing with false expectations later:
- ✕RAG will not fix errors that already exist in your regulations
- ✕Responses are only as quality as the uploaded files are current
- ✕You need a responsible editor on your side to keep the database up to date
How pricing is calculated
The cost depends on the volume of documentation, the number of access roles, and where the repository will be located: in the cloud or on your server.
Corporate Onboarding Assistant
In the first 3–4 weeks, newcomers primarily seek information. How to apply for leave? Where are the passwords for services? Who approves invoices? What is the regulation for responding to clients? Mentors and HR are overwhelmed with the same questions.
View the scenario diagram →Frequently asked questions about the service
Will our trade secrets leak online?▾
No. We operate through private endpoints or local vector databases. Data there is encrypted, and providers do not use it for retraining general models.
What if the regulation has been updated?▾
The system automatically re-indexes the changed document — via webhook or during scheduled repository synchronization.
How to verify that the answer is true?▾
The assistant always provides a clickable link: the document title, section, and paragraph from where the fact was taken. You can open it and verify.
Want to talk through your process?
We'll look at how things work for you now, check whether AI is really needed here, and map out the first pilot.
Discuss my taskLet's start with your process: Corporate Knowledge Base and RAG
Describe the process that’s eating up your team’s time. We’ll suggest what can be automated, what data is needed, and where to start.