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b02630d ee0f8f3 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 26 | from typing import List
from langchain_core.documents import Document
from langchain_community.vectorstores import FAISS
from langchain_community.embeddings import HuggingFaceEmbeddings
class VectorStore:
"""FAISS vector store wrapper."""
def __init__(self) -> None:
self.embedding = HuggingFaceEmbeddings(
model_name="sentence-transformers/all-MiniLM-L6-v2"
)
self.store: FAISS | None = None
self.retriever = None
def create(self, docs: List[Document]) -> None:
"""Create FAISS index from documents."""
self.store = FAISS.from_documents(docs, self.embedding)
self.retriever = self.store.as_retriever()
def retrieve(self, query: str, k: int = 8) -> List[Document]:
if self.retriever is None:
raise RuntimeError("Vector store not initialized.")
return self.retriever.invoke(query)
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