Class swarmauri_vectorstore_neo4j.Neo4jVectorStore.Neo4jVectorStore
swarmauri_vectorstore_neo4j.Neo4jVectorStore.Neo4jVectorStore
Neo4jVectorStore(**data)
Bases: VectorStoreSaveLoadMixin
, VectorStoreRetrieveMixin
, VectorStoreBase
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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type
class-attribute
instance-attribute
type = 'Neo4jVectorStore'
uri
instance-attribute
uri
user
instance-attribute
user
password
instance-attribute
password
collection_name
class-attribute
instance-attribute
collection_name = None
model_config
class-attribute
instance-attribute
model_config = ConfigDict(
extra="allow", arbitrary_types_allowed=True
)
id
class-attribute
instance-attribute
id = Field(default_factory=generate_id)
members
class-attribute
instance-attribute
members = None
owners
class-attribute
instance-attribute
owners = None
host
class-attribute
instance-attribute
host = None
default_logger
class-attribute
default_logger = None
logger
class-attribute
instance-attribute
logger = None
name
class-attribute
instance-attribute
name = None
version
class-attribute
instance-attribute
version = '0.1.0'
documents
class-attribute
instance-attribute
documents = []
embedder
property
embedder
add_document
add_document(document)
Add a single document to the Neo4j store.
:param document: Document to add
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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add_documents
add_documents(documents)
Add multiple documents to the Neo4j store.
:param documents: List of documents to add
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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get_document
get_document(id)
Retrieve a document by its ID.
:param id: Document ID :return: Document object or None if not found
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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get_all_documents
get_all_documents()
Retrieve all documents from the Neo4j store.
:return: List of Document objects
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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delete_document
delete_document(id)
Delete a document by its ID.
:param id: Document ID
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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update_document
update_document(id, updated_document)
Update an existing document.
:param id: Document ID :param updated_document: Document object with updated data
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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retrieve
retrieve(query, top_k=5, string_field='content')
Retrieve the top_k most similar documents to the query based on Levenshtein distance using APOC's apoc.text.distance.
:param query: Query string :param top_k: Number of top similar documents to retrieve :param string_field: Specific field to apply Levenshtein distance (default: 'content') :return: List of Document objects
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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close
close()
Close the Neo4j driver connection.
Source code in swarmauri_vectorstore_neo4j/Neo4jVectorStore.py
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register_model
classmethod
register_model()
Decorator to register a base model in the unified registry.
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the model class.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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register_type
classmethod
register_type(resource_type=None, type_name=None)
Decorator to register a subtype under one or more base models in the unified registry.
PARAMETER | DESCRIPTION |
---|---|
resource_type
|
The base model(s) under which to register the subtype. If None, all direct base classes (except DynamicBase) are used.
TYPE:
|
type_name
|
An optional custom type name for the subtype.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the subtype.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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model_validate_toml
classmethod
model_validate_toml(toml_data)
Validate a model from a TOML string.
Source code in swarmauri_base/TomlMixin.py
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model_dump_toml
model_dump_toml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a TOML representation of the model.
Source code in swarmauri_base/TomlMixin.py
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model_validate_yaml
classmethod
model_validate_yaml(yaml_data)
Validate a model from a YAML string.
Source code in swarmauri_base/YamlMixin.py
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model_dump_yaml
model_dump_yaml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a YAML representation of the model.
Source code in swarmauri_base/YamlMixin.py
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model_post_init
model_post_init(logger=None)
Assign a logger instance after model initialization.
Source code in swarmauri_base/LoggerMixin.py
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clear_documents
clear_documents()
Deletes all documents from the vector store
Source code in swarmauri_base/vector_stores/VectorStoreBase.py
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document_count
document_count()
Source code in swarmauri_base/vector_stores/VectorStoreBase.py
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document_dumps
document_dumps()
Placeholder
Source code in swarmauri_base/vector_stores/VectorStoreBase.py
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document_dump
document_dump(file_path)
Placeholder
Source code in swarmauri_base/vector_stores/VectorStoreBase.py
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document_loads
document_loads(json_data)
Placeholder
Source code in swarmauri_base/vector_stores/VectorStoreBase.py
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document_load
document_load(file_path)
Placeholder
Source code in swarmauri_base/vector_stores/VectorStoreBase.py
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save_store
save_store(directory_path)
Saves both the vectorizer's model and the documents.
Source code in swarmauri_base/vector_stores/VectorStoreSaveLoadMixin.py
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load_store
load_store(directory_path)
Loads both the vectorizer's model and the documents.
Source code in swarmauri_base/vector_stores/VectorStoreSaveLoadMixin.py
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save_parts
save_parts(directory_path, chunk_size=10485760)
Splits the file into parts if it's too large and saves those parts individually.
Source code in swarmauri_base/vector_stores/VectorStoreSaveLoadMixin.py
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load_parts
load_parts(directory_path, file_pattern='*.part*')
Combines file parts from a directory back into a single file and loads it.
Source code in swarmauri_base/vector_stores/VectorStoreSaveLoadMixin.py
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