Knowledge Retrieval

Estimated reading: 1 minute

The Robility Knowledge Retrieval component is used to search and retrieve relevant information from an existing knowledge base created through Robility Knowledge Ingestion. It performs semantic search across stored data using vector embeddings and returns the most relevant results in a dataframe format.

This component enables automation workflows and AI agents to dynamically access factual, contextual, and structured information—enhancing accuracy and intelligence in responses or decision-making processes.

Parameters

Parameter	Description
Knowledge	Name of the knowledge base to retrieve information from.
Embedding Provider API Key	API key for the embedding provider used to perform vector-based search and retrieval.
Search Query	The query text used to search within the knowledge base.
Top K Results	Specifies the number of top matching records to return based on relevance.
Include Metadata	Toggle this option to include additional metadata fields in the output.
Include Embeddings	Toggle this option to include the vector embeddings of the retrieved data in the output.

Knowledge Retrieval

Parameters

Knowledge Retrieval

CONTENTS