Ayomide
8 lines
246 B
Python
8 lines
246 B
Python
from backend.embeddings import get_embeddings
|
|
from backend.vector_store import VectorDB
|
|
|
|
db = VectorDB()
|
|
|
|
def recommend_similar(article_text, top_k=3):
|
|
query_embed = get_embeddings([article_text])[0]
|
|
return db.search(query_embed, k=top_k) |