Knowledge Base

Knowledge Bases store and organize information for retrieval-augmented generation (RAG) in your workflows.

Overview

A Knowledge Base enables your AI workflows to:

• Access your custom data
• Provide accurate, grounded responses
• Answer questions about your documents
• Maintain up-to-date information

Creating a Knowledge Base

1. Go to Dashboard > Knowledge Base
2. Click Create Knowledge Base
3. Name your knowledge base
4. Add data sources

Data Sources

Document Upload

Upload files directly:

• PDF documents
• Text files (.txt, .md)
• Word documents (.docx)

Web Scraping

Import content from web pages (coming soon).

API Integration

Connect external data sources via API (coming soon).

How It Works

1. Ingestion - Documents are processed and chunked
2. Embedding - Text chunks are converted to vectors
3. Storage - Vectors are stored for fast retrieval
4. Retrieval - Queries find relevant chunks by similarity

Using in Workflows

Add a Knowledge Retrieval Node to query your knowledge base and inject relevant context into LLM prompts.

Best Practices

1. Keep documents focused on specific topics
2. Update regularly to maintain accuracy
3. Use clear, well-structured documents
4. Monitor retrieval quality and adjust as needed