Last updated 1 month ago
Initiate a search operation with a query text and receive most semantically similar responses from the vector store.
The ID of the vector store.
Search results retrieved successfully.
const response = await fetch('https://api.rememberizer.ai/api/v1/vector-stores/{vector-store-id}/documents/search?q=text', { method: 'GET', headers: { "x-api-key": "text" }, }); const data = await response.json();
{ "vector_store": { "id": "text", "name": "text" }, "matched_chunks": [ { "document": { "id": 0, "name": "text", "type": "text", "size": 0, "indexed_on": "2024-12-13T06:32:22.642Z", "vector_store": "text", "created": "2024-12-13T06:32:22.642Z", "modified": "2024-12-13T06:32:22.642Z" }, "matched_content": "text", "distance": 0 } ] }