Chunk #400
Aus: Embedding (Index: 0)
60
Tokens
Synced
Status
Taxonomie
| Kategorie | KI-System |
|---|---|
| Pfad | KI-System > KI-Embedding > Python-Integration |
| Heading-Pfad | Embedding > Embedding > Python-Integration |
Entities
| Name | Typ |
|---|---|
| requests | TECHNOLOGY |
| mxbai-embed-large | MODEL |
| API | SERVICE |
| Embedding | CONCEPT |
Keywords
Inhalt
import requests
def get_embedding(text: str) -> list[float]:
response = requests.post(
'http://localhost:11434/api/embeddings',
json={
'model': 'mxbai-embed-large',
'prompt': text
}
)
return response.json()['embedding']Clean Content
```
`import requests
def get_embedding(text: str) -> list[float]:
response = requests.post(
'http://localhost:11434/api/embeddings',
json={
'model': 'mxbai-embed-large',
'prompt': text
}
)
return response.json()['embedding']`
```
Metadaten
| Analysiert am | 20.12.2025 12:36:29 |
|---|---|
| Analyse-Modell | gemma3:4b-it-qat |
| Embedding-Modell | mxbai-embed-large |
| Qdrant-ID | 336b62d8-c6f7-4dca-86c2-7d8232b7453c |
| Erstellt | 20.12.2025 12:34:42 |
| Aktualisiert | 20.12.2025 12:53:35 |