Knowledge Bases

Knowledge Bases are a core component of Lleverage workflows, enabling intelligent document processing and semantic search capabilities. Through an intuitive node in the workflow builder, you can easily upload and manage documents that are automatically processed and made searchable using advanced AI technology.

Key Features

• Automatic Document Processing: Upload various document types including PDFs, Word documents, Excel spreadsheets, and PowerPoint presentations.

• Smart Chunking: Documents are processed using an intelligent AI pipeline that analyzes content structure and determines the most effective chunking strategy, ensuring optimal retrieval results.

• Built-in Vector Store: Documents are automatically vectorized and stored in a Weaviate vector store, enabling powerful semantic search capabilities without any additional configuration.

• Unstructured Data Processing: Leverages Unstructured.io for robust document preprocessing, ensuring high-quality text extraction across different document formats.

Using Knowledge Base in Workflows

1. Adding Documents:

   • Drag the searchKnowledge node into your workflow

   • Upload documents directly through the node interface

   • Documents are automatically processed and made searchable

2. Searching Content:

   • Use natural language queries to search across your documents (e.g. by adding a variable that is called 'Query' and using that variable in the searchKnowledge node

   • Results are ranked by semantic relevance

   • Retrieved content can be seamlessly integrated with other workflow nodes

3. Integration with AI Models:

   • Combine Knowledge Base search results with LLM nodes for enhanced content generation

   • Create workflows that leverage both document knowledge and AI capabilities

Best Practices

• Organize related documents within the same Knowledge node for better context

• Use specific queries to retrieve relevant information

• Consider document structure when designing your workflows

• Test searches with different query formulations to optimize retrieval

Supported Document Types

20 different document types, including:

• PDFs

• Word documents (DOCX)

• Excel spreadsheets (XLSX)

• PowerPoint presentations (PPTX)

• Plain text files (TXT)

Note: Vector Stores functionality is being deprecated in favor of the new Knowledge Base system. Existing Vector Store implementations will continue to function but are recommended to migrate to the new Knowledge Base system.