Knowledge search

curl http://localhost:1234/v1/knowledge/search \
  -H "Content-Type: application/json" \
  -d '{"query": "refunds for digital goods", "collection": "Policies", "limit": 5}'

import requests

hits = requests.post("http://localhost:1234/v1/knowledge/search",
                     json={"query": "refunds for digital goods", "collection": "Policies", "limit": 5}).json()["data"]
for h in hits:
    print(f"{h['similarity']:.2f}  {h['document']} ({h['location']}): {h['text'][:100]}")

const { data } = await (await fetch("http://localhost:1234/v1/knowledge/search", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ query: "refunds for digital goods", collection: "Policies", limit: 5 }),
})).json();
data.forEach(h => console.log(h.similarity.toFixed(2), h.document, h.location));

{
  "object": "list",
  "query": "refunds for digital goods",
  "collection": "c:3",
  "data": [
    { "index": 1, "document": "Refund policy.pdf", "document_id": 41, "collection": "c:3",
      "location": "page 2", "heading": "Digital products",
      "text": "Digital goods can be refunded within 14 days if they have not been downloaded…",
      "similarity": 0.7412, "score": 0.03252 }
  ]
}