Knowledge retrieval

Knowledge Workspace

Rabeeb uses knowledge retrieval to ground AI workflows in documents, business context, campaign material, and brand memory.

Company context

Rabeeb is developed by Marketing Dot Limited, a Bahrain-registered company building for Arabic-speaking and regional marketing teams.

Workflow examples

1

Answer from business documents

Retrieve relevant company, brand, campaign, or support context before drafting an answer.

2

Prepare campaign decisions

Use prior knowledge and failure patterns to reduce repeated mistakes before launch.

Platform context

Rabeeb product area

Interface preview

Sanitized product screenshots show the workspace shape without exposing private organization links or customer identifiers.

Sanitized knowledge workspace screenshot

Knowledge workspace

Document health, search checks, and retrieval readiness support grounded AI answers.

Capabilities

Platform capabilities

Knowledge library

Teams can organize knowledge items, recent material, documents, and searchable context.

Semantic search

Natural-language retrieval helps users find relevant documents, assets, practices, and prior decisions.

Decision support

Campaign decision support, best practices, failure patterns, and readiness context help operators make safer choices.

Contextual chat grounding

Page-specific AI chat can use the current workflow and related knowledge instead of answering generically.

Review context

What this shows publicly

Grounded AI

The product is designed around retrieval and context, not only contextual prompts.

Reusable memory

Knowledge can support campaigns, content, chat, and brand workflows.

No documents exposed

Public pages describe the workspace without exposing uploaded files.

Want to review Rabeeb in more detail?

Request a walkthrough or contact the team for company documents, product screenshots, architecture context, or demo access.