Fetch semantic search results from the builder’s knowledge base for data analysis. This would allow your AI actions to leverage relevant structured data from the knowledge base based on filtering criteria.
Bearer token from your account (https://agent.ai/user/integrations#api)
Enter the search query to retrieve relevant knowledge base entries, such as 'best sales strategies'.
Select which knowledge base to use for the search. For example, choose 'Product Docs' or 'Marketing Tips'.
Specify the maximum number of document chunks to return, such as '5' or '10'.
Set the score threshold for search relevance, such as '0.2' for broader results or '0.7' for more precise matches.
Assign a variable name to store the knowledge base results, like 'kb_results' or 'search_output'.
^[a-zA-Z][a-zA-Z0-9_]*$