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"^306", markers = "sys_platform == 'win32'" } diff --git a/src/backend/langflow/components/vectorstores/Faiss.py b/src/backend/langflow/components/vectorstores/Faiss.py new file mode 100644 index 000000000..fd7c99bf2 --- /dev/null +++ b/src/backend/langflow/components/vectorstores/Faiss.py @@ -0,0 +1,64 @@ +from typing import List, Optional, Union +from langflow import CustomComponent + +from langchain.vectorstores import FAISS +from langchain.vectorstores.base import VectorStore +from langchain.schema import BaseRetriever +from langchain.schema import Document +from langchain.embeddings.base import Embeddings + + +class FAISSComponent(CustomComponent): + """ + A custom component for implementing a Vector Store using FAISS. + """ + + display_name: str = "FAISS (Custom Component)" + description: str = "Implementation of Vector Store using FAISS" + documentation = "https://python.langchain.com/docs/integrations/vectorstores/faiss" + beta = True + + def build_config(self): + return { + "persistence": { + "display_name": "Persistence", + "options": ["In-Memory", "LocalDirectory"], + "value": "In-Memory", + }, + "folder_path": { + "display_name": "Folder Path", + "required": False, + }, + "index_name": {"display_name": "Index Name", "value": "faiss_index"}, + "documents": {"display_name": "Documents", "is_list": True}, + "embeddings": {"display_name": "Embeddings"}, + "code": {"display_name": "Code", "show": False}, + } + + def build( + self, + persistence: str, + index_name: str, + embeddings: Embeddings, + folder_path: Optional[str] = None, + documents: Optional[List[Document]] = None, + ) -> Union[VectorStore, BaseRetriever]: + if persistence == "LocalDirectory" and not folder_path: + raise ValueError("Folder path is required for local directory persistence") + + # Load if persistence is LocalDirectory + if documents is None and folder_path is not None: + return FAISS.load_local( + folder_path=folder_path, embeddings=embeddings, index_name=index_name + ) + + if documents is None: + raise ValueError("Documents must be provided in the params") + + db = FAISS.from_documents(documents=documents, embedding=embeddings) + + # Save if persistence is LocalDirectory + if persistence == "LocalDirectory" and folder_path is not None: + db.save_local(folder_path=folder_path, index_name=index_name) + + return db diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index 48f7b1da1..994c1621f 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -271,8 +271,8 @@ vectorstores: documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant" Weaviate: documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate" - FAISS: - documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss" +# FAISS: +# documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss" Pinecone: documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone" SupabaseVectorStore: