Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Search with a 1024-dimensional query vector.
results = client.search( query=[...], # 1024 floats top_k=5, threshold=0.0, kiosk_mode=False, ) for r in results: print(r["id"], r["score"], r["label"])
resp = client.search({ "query": [...], "top_k": 5, }) print(resp["results"])
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