DocsGPT/application/vectorstore/vector_creator.py
2024-02-28 11:49:15 +05:30

21 lines
731 B
Python

from application.vectorstore.faiss import FaissStore
from application.vectorstore.elasticsearch import ElasticsearchStore
from application.vectorstore.mongodb import MongoDBVectorStore
from application.vectorstore.qdrant import QdrantStore
class VectorCreator:
vectorstores = {
"faiss": FaissStore,
"elasticsearch": ElasticsearchStore,
"mongodb": MongoDBVectorStore,
"qdrant": QdrantStore,
}
@classmethod
def create_vectorstore(cls, type, *args, **kwargs):
vectorstore_class = cls.vectorstores.get(type.lower())
if not vectorstore_class:
raise ValueError(f"No vectorstore class found for type {type}")
return vectorstore_class(*args, **kwargs)