RAG Document Management
| Document | Collection | Size | Status | Upload Date | Actions |
|---|
curl -X POST http://localhost:8085/collections/{SELECTED_COLLECTION}/query \
-H "Content-Type: application/json" \
-d '{"question": "Your question here", "systemPrompt": "Optional custom system prompt"}'
const response = await fetch('/collections/{SELECTED_COLLECTION}/query', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
question: 'Your question here',
systemPrompt: 'Optional custom system prompt'
})
});
const result = await response.json();
console.log(result.answer);
{
"answer": "The AI-generated answer to your question",
"collectionId": "{SELECTED_COLLECTION}",
"timestamp": "2025-08-08T23:56:21.2662857",
"question": "Your original question"
}
Explore the raw embedding content and metadata stored for this collection.
| ID | View | Content | Metadata | Document | Size | Actions |
|---|---|---|---|---|---|---|
| Select a collection to view its embedding content | ||||||
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