Knowledge Retrieval Node
The Knowledge Retrieval Node queries your knowledge bases to find relevant information for AI-powered responses.
Overview
Use Knowledge Retrieval Nodes to:
- Implement RAG (Retrieval Augmented Generation)
- Search documentation or FAQs
- Find relevant context for LLM responses
Configuration
Knowledge Base
Select which knowledge base to query.
Query
The search query, typically using variables:
{{input.user_question}}
Top K
Number of relevant results to retrieve (default: 5).
Similarity Threshold
Minimum similarity score for results (0.0 - 1.0).
Output
Returns an array of matching documents with:
content- The document textscore- Similarity scoremetadata- Document metadata
Using with LLM Nodes
Combine with LLM Nodes for RAG:
- Knowledge Retrieval finds relevant context
- LLM Node uses context to generate informed responses