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b02630d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | """Embedding module using SentenceTransformer (free)."""
from typing import List
from sentence_transformers import SentenceTransformer
from langchain_core.embeddings import Embeddings
class Embedder(Embeddings):
"""LangChain-compatible wrapper around SentenceTransformer embedding model."""
def __init__(self, model_name: str = "all-MiniLM-L6-v2") -> None:
self.model = SentenceTransformer(model_name)
def embed_documents(self, texts: List[str]) -> List[List[float]]:
"""Embed a list of documents."""
return self.model.encode(texts).tolist()
def embed_query(self, text: str) -> List[float]:
"""Embed a single query text."""
return self.model.encode([text])[0].tolist()
def embed(self, texts: List[str]) -> List[List[float]]:
"""Embed a list of texts into dense vectors."""
return self.embed_documents(texts)
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