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python
# demander.py
import sqlite3, sqlite_vec, requests, struct, sys
OLLAMA, DIMENSION = "http://localhost:11434", 384
question = " ".join(sys.argv[1:])
def vecteur(t):
return requests.post(f"{OLLAMA}/api/embeddings",
json={"model": "zylonai/multilingual-e5-small", "prompt": t}).json()["embedding"]
base = sqlite3.connect("corpus.db")
base.enable_load_extension(True)
sqlite_vec.load(base)
q = struct.pack(f"{DIMENSION}f", *vecteur(question))
lignes = base.execute("""
SELECT p.source, p.texte FROM vecteurs v
JOIN passages p ON p.id = v.id
WHERE v.v MATCH ? AND k = 4
ORDER BY distance
""", (q,)).fetchall()
extraits = "\n\n".join(f"[{s}] {t}" for s, t in lignes)
prompt = f"""Réponds uniquement à partir des extraits ci-dessous.
Si la réponse ne s'y trouve pas, dis-le clairement.
Cite la source entre crochets.
Extraits :
{extraits}
Question : {question}"""
r = requests.post(f"{OLLAMA}/api/generate",
json={"model": "qwen3:4b", "prompt": prompt, "stream": False})
print(r.json()["response"])
shell
python demander.py "Quelles sont les conditions d'inscription ?"