curl --request GET \ --url https://api.xpander.ai/v1/knowledge/{kb_id}/search \ --header 'x-api-key: <api-key>'
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[ { "document_id": "doc-uuid-1", "document_name": "product-guide.pdf", "content_snippet": "To get started with the API, first generate an API key from the Settings page...", "relevance_score": 0.94, "metadata": {} }]
REST API - Knowledge
Search Knowledge Base
Search in knowledge base using vector search
GET
/
v1
/
knowledge
/
{kb_id}
/
search
Search In Knowledge Base
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curl --request GET \ --url https://api.xpander.ai/v1/knowledge/{kb_id}/search \ --header 'x-api-key: <api-key>'
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Ask AI
[ { "document_id": "doc-uuid-1", "document_name": "product-guide.pdf", "content_snippet": "To get started with the API, first generate an API key from the Settings page...", "relevance_score": 0.94, "metadata": {} }]
Perform semantic search across documents in a knowledge base using vector similarity. Returns the most relevant document chunks based on your query.