SimpleVectorStore#

class llama_index.core.vector_stores.SimpleVectorStore(data: Optional[SimpleVectorStoreData] = None, fs: Optional[AbstractFileSystem] = None, **kwargs: Any)#

Bases: VectorStore

Simple Vector Store.

In this vector store, embeddings are stored within a simple, in-memory dictionary.

Parameters: simple_vector_store_data_dict (Optional[dict]) – data dict containing the embeddings and doc_ids. See SimpleVectorStoreData for more details.

Attributes Summary

`client`	Get client.
`stores_text`

Methods Summary

`add`(nodes, **add_kwargs)	Add nodes to index.
`delete`(ref_doc_id, **delete_kwargs)	Delete nodes using with ref_doc_id.
`from_dict`(save_dict)
`from_namespaced_persist_dir`([persist_dir, fs])	Load from namespaced persist dir.
`from_persist_dir`([persist_dir, namespace, fs])	Load from persist dir.
`from_persist_path`(persist_path[, fs])	Create a SimpleKVStore from a persist directory.
`get`(text_id)	Get embedding.
`persist`([persist_path, fs])	Persist the SimpleVectorStore to a directory.
`query`(query, **kwargs)	Get nodes for response.
`to_dict`()

Attributes Documentation

client#: Get client.

stores_text: bool = False#

Methods Documentation

add(nodes: List[BaseNode], **add_kwargs: Any) → List[str]#: Add nodes to index.

delete(ref_doc_id: str, **delete_kwargs: Any) → None#

Delete nodes using with ref_doc_id.

Parameters: ref_doc_id (str) – The doc_id of the document to delete.

classmethod from_dict(save_dict: dict) → SimpleVectorStore#

classmethod from_namespaced_persist_dir(persist_dir: str = './storage', fs: Optional[AbstractFileSystem] = None) → Dict[str, VectorStore]#: Load from namespaced persist dir.

classmethod from_persist_dir(persist_dir: str = './storage', namespace: Optional[str] = None, fs: Optional[AbstractFileSystem] = None) → SimpleVectorStore#: Load from persist dir.

classmethod from_persist_path(persist_path: str, fs: Optional[AbstractFileSystem] = None) → SimpleVectorStore#: Create a SimpleKVStore from a persist directory.

get(text_id: str) → List[float]#: Get embedding.

persist(persist_path: str = './storage/vector_store.json', fs: Optional[AbstractFileSystem] = None) → None#: Persist the SimpleVectorStore to a directory.

query(query: VectorStoreQuery, **kwargs: Any) → VectorStoreQueryResult#: Get nodes for response.

to_dict() → dict#