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Knowledge base
Vector Database
The engine that truly understands your knowledge.
What is Vector Database?
The vector database is the intelligent storage behind your knowledge base that enables searching by meaning rather than just exact words. This allows Slimbot to find the right answer, even if you use different wording than what's in the document.
How does it work?
- Your documents are automatically processed when added.
- Slimbot stores the meaning of the content in vector storage.
- When you ask a question, the platform searches by meaning, not by words.
- The most relevant passages are used as the answer.
Use cases
Company with many documents where terms are called differently.
Support that links questions in everyday language to formal texts.
Organisation that wants to bring related topics together.
SME owner who wants to search reliably across many sources.
Benefits
- Find answers even without exact keywords.
- Meaningful search across all your sources at once.
- Works completely automatically in the background.
- Lays the foundation for accurate AI answers.
Frequently asked questions
Do I need to set anything up myself?
No, vector storage works automatically as soon as you add documents; you don't need to do anything technical.
Why is this better than simply searching for words?
Because it searches by meaning, you'll find the right answer even if your question is worded differently than the text in your document.
Also within Knowledge base
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