# Knowledge Base Using RAG (Retrieval Augmented Generation) technology, this content is transformed into embeddings that enable your virtual being to provide contextually relevant responses during conversations.

### Structure and Components **Collections** Collections are folders that help organize related documents into logical groups. Good organization helps your virtual being quickly access relevant information during conversations. Common collection types include: * Product information and specifications * Company policies and procedures * Frequently asked questions * Troubleshooting guides **Documents** Documents are the building blocks of your Knowledge Base, containing the actual information your virtual being will reference. Each document has these key characteristics: * Maximum length: 10,000 characters per document * Format: Plain text with support for images * Purpose: Source material for AI embeddings used in responses * Quantity: Limited based on your subscription plan

### **Working with content** **Managing Collections** Collections help maintain an organized and efficient Knowledge Base. To create a collection: 1. Navigate to the Knowledge Base section 2. Click "Add collection" 3. Enter a descriptive collection name 4. Save the collection You can rename or delete collections and move documents between them as your knowledge structure evolves. **Creating and Editing Documents** When creating documents, focus on clear, specific information that your virtual being can easily reference. To create a document: 1. Select the appropriate collection 2. Click "Add document" 3. Enter a descriptive name 4. Add your content, staying within the 10,000 character limit 5. Save your changes **Adding Visual Content** Images can enhance your documents and provide additional context. To add images: 1. In document edit mode, find the Images section 2. Click the "+" button 3. Either upload an image or drag and drop it 4. Add a name and descriptive text that helps the AI understand the image 5. Save your changes {% hint style="info" %} It's important to include information on what is depicted in the image – this will allow the virtual being to **select the most relevant images during the conversation and display them contextually.** {% endhint %}

Adding an image to Knowledge Base document

#### How Embeddings Work The Knowledge Base automatically processes your documents to create embeddings - mathematical representations that enable intelligent information retrieval. This process allows your virtual being to: * Understand the context of user questions * Find relevant information quickly * Generate natural responses using your content #### Using Knowledge in Conversations Your Knowledge Base connects seamlessly with conversation flows through LLM nodes: * RAG technology searches through your documents * Relevant content is retrieved based on context * Information is incorporated into natural responses #### Best Practices #### Effective Organization Keep your Knowledge Base efficient and useful by: * Creating intuitive collection structures * Using clear, descriptive document names * Keeping documents focused on specific topics * Maintaining current, accurate content #### Content Creation Tips Create content that works well with AI processing: * Write in clear, straightforward language * Include practical examples where helpful * Provide context with good image descriptions * Structure information logically #### Maintaining Performance Keep your Knowledge Base running smoothly: * Monitor your document count against plan limits * Regularly review and update content * Test knowledge retrieval periodically * Archive outdated information See our recommendations for making the most out of yout Knowledge Base content: {% content-ref url="knowledge-base/best-practices-for-knowledge-base-content" %} [best-practices-for-knowledge-base-content](https://docs.virbe.ai/dashboard-management/knowledge-base/best-practices-for-knowledge-base-content) {% endcontent-ref %}