PostgresChatStore(key:object,engine:PostgresEngine,chat_store:AsyncPostgresChatStore)

add_message(key:str,message:llama_index.core.base.llms.types.ChatMessage)->None

adelete_last_message(key:str,)->typing.Optional[llama_index.core.base.llms.types.ChatMessage]

adelete_message(key:str,idx:int)->typing.Optional[llama_index.core.base.llms.types.ChatMessage]

adelete_messages(key:str,)->typing.Optional[typing.List[llama_index.core.base.llms.types.ChatMessage]]

aget_keys()->typing.List[str]

aget_messages(key:str,)->typing.List[llama_index.core.base.llms.types.ChatMessage]

aset_messages(key:str,messages:typing.List[llama_index.core.base.llms.types.ChatMessage])->None

async_add_message(key:str,message:llama_index.core.base.llms.types.ChatMessage)->None

class_name()->str

create(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",)->llama_index_cloud_sql_pg.chat_store.PostgresChatStore

create_sync(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",)->llama_index_cloud_sql_pg.chat_store.PostgresChatStore

delete_last_message(key:str,)->typing.Optional[llama_index.core.base.llms.types.ChatMessage]

delete_message(key:str,idx:int)->typing.Optional[llama_index.core.base.llms.types.ChatMessage]

delete_messages(key:str,)->typing.Optional[typing.List[llama_index.core.base.llms.types.ChatMessage]]

get_keys()->typing.List[str]

get_messages(key:str)->typing.List[llama_index.core.base.llms.types.ChatMessage]

model_post_init(context:Any,/)->None

set_messages(key:str,messages:typing.List[llama_index.core.base.llms.types.ChatMessage])->None

PostgresDocumentStore(key:object,engine:llama_index_cloud_sql_pg.engine.PostgresEngine,document_store:llama_index_cloud_sql_pg.async_document_store.AsyncPostgresDocumentStore,)

add_documents(docs:typing.Sequence[llama_index.core.schema.BaseNode],allow_update:bool=True,batch_size:int=1,store_text:bool=True,)->None

adelete_document(doc_id:str,raise_error:bool=True)->None

adelete_ref_doc(ref_doc_id:str,raise_error:bool=True)->None

adocument_exists(doc_id:str)->bool

aget_all_document_hashes()->dict[str,str]

aget_all_ref_doc_info()->(typing.Optional[dict[str,llama_index.core.storage.docstore.types.RefDocInfo]])

aget_document(doc_id:str,raise_error:bool=True)->typing.Optional[llama_index.core.schema.BaseNode]

aget_document_hash(doc_id:str)->typing.Optional[str]

aget_ref_doc_info(ref_doc_id:str,)->typing.Optional[llama_index.core.storage.docstore.types.RefDocInfo]

aref_doc_exists(ref_doc_id:str)->bool

aset_document_hash(doc_id:str,doc_hash:str)->None

aset_document_hashes(doc_hashes:dict[str,str])->None

async_add_documents(docs:typing.Sequence[llama_index.core.schema.BaseNode],allow_update:bool=True,batch_size:int=1,store_text:bool=True,)->None

create(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",batch_size:int=1,)->llama_index_cloud_sql_pg.document_store.PostgresDocumentStore

create_sync(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",batch_size:int=1,)->llama_index_cloud_sql_pg.document_store.PostgresDocumentStore

delete_document(doc_id:str,raise_error:bool=True)->None

delete_ref_doc(ref_doc_id:str,raise_error:bool=True)->None

document_exists(doc_id:str)->bool

get_all_document_hashes()->dict[str,str]

get_all_ref_doc_info()->(typing.Optional[dict[str,llama_index.core.storage.docstore.types.RefDocInfo]])

get_document(doc_id:str,raise_error:bool=True)->typing.Optional[llama_index.core.schema.BaseNode]

get_document_hash(doc_id:str)->typing.Optional[str]

get_ref_doc_info(ref_doc_id:str,)->typing.Optional[llama_index.core.storage.docstore.types.RefDocInfo]

ref_doc_exists(ref_doc_id:str)->bool

set_document_hash(doc_id:str,doc_hash:str)->None

set_document_hashes(doc_hashes:dict[str,str])->None

__post_init__()

PostgresEngine(key:object,pool:sqlalchemy.ext.asyncio.engine.AsyncEngine,loop:typing.Optional[asyncio.events.AbstractEventLoop],thread:typing.Optional[threading.Thread],)

_ainit_chat_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

_ainit_doc_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

_ainit_index_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

_ainit_vector_store_table(table_name:str,vector_size:int,schema_name:str="public",id_column:typing.Union[str,llama_index_cloud_sql_pg.engine.Column]="node_id",text_column:str="text",embedding_column:str="embedding",metadata_json_column:str="li_metadata",metadata_columns:list[llama_index_cloud_sql_pg.engine.Column]=[],ref_doc_id_column:str="ref_doc_id",node_column:str="node_data",stores_text:bool=True,overwrite_existing:bool=False,)->None

_aload_table_schema(table_name:str,schema_name:str="public")->sqlalchemy.sql.schema.Table

_create(project_id:str,region:str,instance:str,database:str,ip_type:typing.Union[str,google.cloud.sql.connector.enums.IPTypes],user:typing.Optional[str]=None,password:typing.Optional[str]=None,loop:typing.Optional[asyncio.events.AbstractEventLoop]=None,thread:typing.Optional[threading.Thread]=None,quota_project:typing.Optional[str]=None,iam_account_email:typing.Optional[str]=None,)->llama_index_cloud_sql_pg.engine.PostgresEngine

_run_as_async(coro:typing.Awaitable[llama_index_cloud_sql_pg.engine.T],)->llama_index_cloud_sql_pg.engine.T

_run_as_sync(coro:typing.Awaitable[llama_index_cloud_sql_pg.engine.T],)->llama_index_cloud_sql_pg.engine.T

afrom_instance(project_id:str,region:str,instance:str,database:str,user:typing.Optional[str]=None,password:typing.Optional[str]=None,ip_type:typing.Union[str,google.cloud.sql.connector.enums.IPTypes]=IPTypes.PUBLIC,quota_project:typing.Optional[str]=None,iam_account_email:typing.Optional[str]=None,)->llama_index_cloud_sql_pg.engine.PostgresEngine

ainit_chat_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

ainit_doc_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

ainit_index_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

ainit_vector_store_table(table_name:str,vector_size:int,schema_name:str="public",id_column:typing.Union[str,llama_index_cloud_sql_pg.engine.Column]="node_id",text_column:str="text",embedding_column:str="embedding",metadata_json_column:str="li_metadata",metadata_columns:list[llama_index_cloud_sql_pg.engine.Column]=[],ref_doc_id_column:str="ref_doc_id",node_column:str="node_data",stores_text:bool=True,overwrite_existing:bool=False,)->None

close()->None

from_engine(engine:sqlalchemy.ext.asyncio.engine.AsyncEngine,loop:typing.Optional[asyncio.events.AbstractEventLoop]=None,)->llama_index_cloud_sql_pg.engine.PostgresEngine

from_engine_args(url:typing.Union[str,sqlalchemy.engine.url.URL],**kwargs:typing.Any)->llama_index_cloud_sql_pg.engine.PostgresEngine

from_instance(project_id:str,region:str,instance:str,database:str,user:typing.Optional[str]=None,password:typing.Optional[str]=None,ip_type:typing.Union[str,google.cloud.sql.connector.enums.IPTypes]=IPTypes.PUBLIC,quota_project:typing.Optional[str]=None,iam_account_email:typing.Optional[str]=None,)->llama_index_cloud_sql_pg.engine.PostgresEngine

init_chat_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

init_doc_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

init_index_store_table(table_name:str,schema_name:str="public",overwrite_existing:bool=False)->None

init_vector_store_table(table_name:str,vector_size:int,schema_name:str="public",id_column:typing.Union[str,llama_index_cloud_sql_pg.engine.Column]="node_id",text_column:str="text",embedding_column:str="embedding",metadata_json_column:str="li_metadata",metadata_columns:list[llama_index_cloud_sql_pg.engine.Column]=[],ref_doc_id_column:str="ref_doc_id",node_column:str="node_data",stores_text:bool=True,overwrite_existing:bool=False,)->None

PostgresIndexStore(key:object,engine:llama_index_cloud_sql_pg.engine.PostgresEngine,index_store:llama_index_cloud_sql_pg.async_index_store.AsyncPostgresIndexStore,)

aadd_index_struct(index_struct:llama_index.core.data_structs.data_structs.IndexStruct,)->None

add_index_struct(index_struct:llama_index.core.data_structs.data_structs.IndexStruct,)->None

adelete_index_struct(key:str)->None

aget_index_struct(struct_id:typing.Optional[str]=None,)->typing.Optional[llama_index.core.data_structs.data_structs.IndexStruct]

aindex_structs()->list[llama_index.core.data_structs.data_structs.IndexStruct]

async_add_index_struct(index_struct:llama_index.core.data_structs.data_structs.IndexStruct,)->None

async_index_structs()->(list[llama_index.core.data_structs.data_structs.IndexStruct])

create(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",)->llama_index_cloud_sql_pg.index_store.PostgresIndexStore

create_sync(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",)->llama_index_cloud_sql_pg.index_store.PostgresIndexStore

delete_index_struct(key:str)->None

get_index_struct(struct_id:typing.Optional[str]=None,)->typing.Optional[llama_index.core.data_structs.data_structs.IndexStruct]

index_structs()->list[llama_index.core.data_structs.data_structs.IndexStruct]

index_options()->str

_generate_next_value_(start,count,last_values)

index_options()->str

to_string()->str

index_options()->str

to_string()->str

to_string()->str

PostgresReader(key:object,engine:PostgresEngine,reader:AsyncPostgresReader,is_remote:bool=True,)

alazy_load_data()->typing.AsyncIterable[llama_index.core.schema.Document]

aload_data()->list[llama_index.core.schema.Document]

class_name()->str

create(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,query:typing.Optional[str]=None,table_name:typing.Optional[str]=None,schema_name:str="public",content_columns:typing.Optional[list[str]]=None,metadata_columns:typing.Optional[list[str]]=None,metadata_json_column:typing.Optional[str]=None,format:typing.Optional[str]=None,formatter:typing.Optional[typing.Callable]=None,is_remote:bool=True,)->llama_index_cloud_sql_pg.reader.PostgresReader

create_sync(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,query:typing.Optional[str]=None,table_name:typing.Optional[str]=None,schema_name:str="public",content_columns:typing.Optional[list[str]]=None,metadata_columns:typing.Optional[list[str]]=None,metadata_json_column:typing.Optional[str]=None,format:typing.Optional[str]=None,formatter:typing.Optional[typing.Callable]=None,is_remote:bool=True,)->llama_index_cloud_sql_pg.reader.PostgresReader

lazy_load_data()->typing.Iterable[llama_index.core.schema.Document]

load_data()->list[llama_index.core.schema.Document]

model_post_init(context:Any,/)->None

PostgresVectorStore(key:object,engine:PostgresEngine,vs:AsyncPostgresVectorStore,stores_text:bool=True,is_embedding_query:bool=True,)

aapply_vector_index(index:llama_index_cloud_sql_pg.indexes.BaseIndex,name:typing.Optional[str]=None,concurrently:bool=False,)->None

aclear()->None

add(nodes:typing.Sequence[llama_index.core.schema.BaseNode],**add_kwargs:typing.Any)->list[str]

adelete(ref_doc_id:str,**delete_kwargs:typing.Any)->None

adelete_nodes(node_ids:typing.Optional[list[str]]=None,filters:typing.Optional[llama_index.core.vector_stores.types.MetadataFilters]=None,**delete_kwargs:typing.Any)->None

adrop_vector_index(index_name:typing.Optional[str]=None)->None

aget_nodes(node_ids:typing.Optional[list[str]]=None,filters:typing.Optional[llama_index.core.vector_stores.types.MetadataFilters]=None,)->list[llama_index.core.schema.BaseNode]

ais_valid_index(index_name:typing.Optional[str]=None)->bool

apply_vector_index(index:llama_index_cloud_sql_pg.indexes.BaseIndex,name:typing.Optional[str]=None,concurrently:bool=False,)->None

aquery(query:llama_index.core.vector_stores.types.VectorStoreQuery,**kwargs:typing.Any)->llama_index.core.vector_stores.types.VectorStoreQueryResult

areindex(index_name:typing.Optional[str]=None)->None

aset_maintenance_work_mem(num_leaves:int,vector_size:int)->None

async_add(nodes:typing.Sequence[llama_index.core.schema.BaseNode],**kwargs:typing.Any)->list[str]

class_name()->str

clear()->None

create(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",id_column:str="node_id",text_column:str="text",embedding_column:str="embedding",metadata_json_column:str="li_metadata",metadata_columns:list[str]=[],ref_doc_id_column:str="ref_doc_id",node_column:str="node_data",stores_text:bool=True,is_embedding_query:bool=True,distance_strategy:llama_index_cloud_sql_pg.indexes.DistanceStrategy=DistanceStrategy.COSINE_DISTANCE,index_query_options:typing.Optional[llama_index_cloud_sql_pg.indexes.QueryOptions]=None,)->llama_index_cloud_sql_pg.vector_store.PostgresVectorStore

create_sync(engine:llama_index_cloud_sql_pg.engine.PostgresEngine,table_name:str,schema_name:str="public",id_column:str="node_id",text_column:str="text",embedding_column:str="embedding",metadata_json_column:str="li_metadata",metadata_columns:list[str]=[],ref_doc_id_column:str="ref_doc_id",node_column:str="node_data",stores_text:bool=True,is_embedding_query:bool=True,distance_strategy:llama_index_cloud_sql_pg.indexes.DistanceStrategy=DistanceStrategy.COSINE_DISTANCE,index_query_options:typing.Optional[llama_index_cloud_sql_pg.indexes.QueryOptions]=None,)->llama_index_cloud_sql_pg.vector_store.PostgresVectorStore

delete(ref_doc_id:str,**delete_kwargs:typing.Any)->None

delete_nodes(node_ids:typing.Optional[list[str]]=None,filters:typing.Optional[llama_index.core.vector_stores.types.MetadataFilters]=None,**delete_kwargs:typing.Any)->None

drop_vector_index(index_name:typing.Optional[str]=None)->None

get_nodes(node_ids:typing.Optional[list[str]]=None,filters:typing.Optional[llama_index.core.vector_stores.types.MetadataFilters]=None,)->list[llama_index.core.schema.BaseNode]

is_valid_index(index_name:typing.Optional[str]=None)->bool

model_post_init(context:Any,/)->None

query(query:llama_index.core.vector_stores.types.VectorStoreQuery,**kwargs:typing.Any)->llama_index.core.vector_stores.types.VectorStoreQueryResult

reindex(index_name:typing.Optional[str]=None)->None

set_maintenance_work_mem(num_leaves:int,vector_size:int)->None