What Are Knowledge Bases?
Quick Answer
Knowledge bases are collections of reference documents you upload to give your AI reviewers brand-specific context. They allow reviewers to evaluate content against your actual style guides, brand voice documentation, and quality standards.
Knowledge bases are one of the most powerful features in TeamBench. They bridge the gap between generic AI evaluation and review feedback that is genuinely informed by your brand's specific standards, terminology, and expectations.
A knowledge base is a collection of documents you upload to TeamBench -- style guides, brand voice documentation, product information, compliance guidelines, or any reference material that defines what "good content" means for your organization. TeamBench processes these documents, breaks them into searchable chunks, and makes them available to your reviewers during evaluation.
When a reviewer has an attached knowledge base, the AI does not just evaluate content against generic quality criteria. It retrieves relevant passages from your uploaded documents and uses them as additional context during the review. If your style guide says to avoid passive voice, the reviewer will flag passive constructions specifically because your guidelines say so, not just as a generic best practice.
To create a knowledge base, navigate to the Knowledge Bases section and upload your documents. TeamBench supports multiple file formats and will process them automatically. You can organize documents into separate knowledge bases for different purposes -- one for brand guidelines, another for compliance requirements, a third for product terminology.
Once created, you attach a knowledge base to any reviewer that should use that context. A single knowledge base can be shared across multiple reviewers, and a single reviewer can reference multiple knowledge bases. This flexibility lets you compose exactly the right context for each evaluation scenario.
The underlying technology uses vector embeddings and semantic search. When content is submitted for review, TeamBench identifies which parts of your knowledge base are most relevant to the content being evaluated. Only the most relevant passages are included in the review context, ensuring the AI focuses on applicable guidance rather than being overwhelmed with unrelated documentation.
Knowledge bases are particularly valuable for organizations with detailed brand standards, regulated industries with compliance requirements, or teams producing technical content that requires domain-specific accuracy checks. The more specific and well-documented your standards are, the more value knowledge bases add to every review.
Keep your knowledge bases up to date. As your brand evolves, style guides change, and new products launch, updating your knowledge base documents ensures your reviewers always evaluate against current standards rather than outdated ones.
Related Questions
What file types can I upload to a knowledge base?
Knowledge bases support PDF, DOCX, DOC, and TXT files. Text is extracted and processed automatically. For best results, upload documents with clear, well-structured text rather than image-heavy files.
How much content can a knowledge base hold?
Knowledge bases can hold multiple documents. The system processes and indexes them regardless of length, but focuses on the most relevant passages during reviews. There is no practical limit for typical brand documentation.
Do knowledge bases count against my credits?
Uploading and processing knowledge base documents does not consume review credits. Credits are only used when you submit content for review or use the chat feature.
Related Free Tools
Still have questions?
Try TeamBench free and see how AI-powered content review works for your team.
Start Free Trial