The VECTOR_STORE_LOAD
routine generates
vector embedding for the specified files or folders that are
stored in the bucket, and loads the embeddings into a new vector
store table.
This routine creates an asynchronous task which loads vector store tables in the background. It also returns a query that you can run to track the status of the vector store load task that is running in the background.
It is recommended that you create five or less vector store load tasks at a time. Too many tasks running at the same time might cause overloading issues.
To learn about the privileges you need to run this routine, see Required Privileges.
Press CTRL+C to copymysql> call sys.VECTOR_STORE_LOAD('URI', [options]); options: { JSON_OBJECT('key','value'[,'key','value'] ...) 'key','value': { ['formats', JSON_ARRAY('Format1'[,'Format2'] ...)] ['schema_name', 'SchemaName'] ['table_name', 'TableName'] ['region', 'Region'] ['task_name', 'TaskName'] ['language', 'Language'] ['embed_model_id', {'minilm'|'multilingual-e5-small'}] ['description', 'Description'] ['uris', JSON_ARRAY(JSON_OBJECT('uri','URI1','table_name','TableName1')[,JSON_OBJECT('uri','URI2','table_name','TableName2')] ...)] ['ocr', {true|false}] } }
Following are VECTOR_STORE_LOAD
parameters:
-
URI
: specifies the unique reference index (URI) or pre-authenticated request (PAR) of the bucket files or folders to be ingested into the vector store.A URI is considered to be one of the following:
A glob pattern, if it contains at least one unescaped
?
or*
character.A prefix, if it is not a pattern and ends with a
/
character like a folder path.A file path, if it is neither a glob pattern nor a prefix.
To learn how to create PAR for your , see Creating a PAR request in .
-
options
: specifies optional parameters as key-value pairs in JSON format. It can include the following parameters:-
formats
: specifies the list of formats to be loaded. The supported file formats arepdf
,ppt
,txt
,html
, anddoc
. By default, the routine uses all the supported formats.If the routine detects multiple files with the same or different file formats in a single load, it creates a separate table for every format it finds. The table name for each format is the specified or default table name followed by the format:
TableName_Format
. schema_name
: specifies the name of the schema where the vector embeddings are to be loaded. By default, this procedure uses the current schema from the session.table_name
: specifies the name of the vector store table to create. By default, the routine generates a unique table name with formatvector_store_data_x
, wherex
is a counter.region
: specifies the region of the bucket. Default value is the region where the current DB System is running.task_name
: specifies a name for the loading task to be mentioned in the task status. Default value isVector Store Loader
.-
language
: specifies the text content language used in the files to be ingested into the vector store. To set the value of thelanguage
parameter, use the two-letterISO 639-1
code for the language. This parameter is available in MySQL 9.0.1-u1 and later versions.Default value is
en
.For possible values, to view the list of supported languages, see Languages.
-
embed_model_id
: specifies the embedding model to use for encoding the text. Default value isminilm
for English text andmultilingual-e5-small
for text in languages other than English.For possible values, to view the list of available embedding models, see HeatWave In-Database Embedding Models.
This parameter is available in MySQL 9.2.1 and later versions. It does not support OCI Generative AI Service Embedding Models.
description
: specifies a description of document collection being loaded to be mentioned in the task status. Default value isNULL
.-
uris
: specifies a list of additional URIs to include along with an optional name for the vector store table to be created for the specified URI. Default value isNULL
.This parameter accepts the following values:
uri
: specifies the additional URI. If onlyuri
is provided, the routine uses the specified URI as an additional URI, and loads it into the main tableoptions.table_name
or the generated table with the unique table name.-
table_name
: if onlytable_name
is provided, the routine loads the specified vector store table into HeatWave.If both
uri
andtable_name
are provided, the routine loads the specified URI into the specified table.
-
ocr
: specifies whether to enable or disable Optical Character Recognition (OCR). If set tofalse
, disables OCR. Default value istrue
, which means OCR is enabled by default.This parameter is available in MySQL 9.1.1 and later versions.
As of MySQL 9.1.2, the default value is
true
.As of MySQL 9.1.1, default value is
false
.
-
-
Specifying the file to ingest using the URI in
VECTOR_STORE_LOAD
:Press CTRL+C to copycall sys.VECTOR_STORE_LOAD('oci://demo_bucket@demo_namespace/demo_folder/demo_file.pdf', '{"table_name": "demo_embeddings"}');
-
Specifying the file to ingest using the PAR in
VECTOR_STORE_LOAD
:Press CTRL+C to copycall sys.VECTOR_STORE_LOAD('https://demo.objectstorage.us-ashburn-1.oci.customer-oci.com/p/demo-url/n/demo/b/demo-bucket/o/demo_file.pdf', '{"table_name": "demo_embeddings"}');
-
Specifying multiple options including the schema name, table name, language, format, and table description in
VECTOR_STORE_LOAD
:Press CTRL+C to copycall sys.VECTOR_STORE_LOAD('oci://demo_bucket@demo_namespace/demo_folder/de*', '{"schema_name": "demo_db", "table_name": "german_embeddings", "language": "de", "formats": ["pdf"], "description": "Vector store table containing German PDF files."}');
-
Tracking the progress of a load task by running the task query displayed as output for the
VECTOR_STORE_LOAD
routine:Press CTRL+C to copyselect id, name, message, progress, status, scheduled_time,estimated_completion_time, estimated_remaining_time, progress_bar FROM mysql_task_management.task_status WHERE id=1\G
The output looks similar to the following:
Press CTRL+C to copyid: 1 name: Vector Store Loader message: Task starting. progress: 0 status: RUNNING scheduled_time: 2024-07-02 14:42:38 estimated_completion_time: 2024-07-22 10:19:53 estimated_remaining_time: 52.50000 progress_bar: __________
-
Getting more details about the load task by querying the task logs for the given task id:
Press CTRL+C to copyselect * from mysql_task_management.task_log where task_id = 1;
The output looks similar to the following:
Press CTRL+C to copy+------------------------------------+---------+----------------------------+------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------+-----------+ | id | task_id | log_time | message | data | progress | status | +------------------------------------+---------+----------------------------+------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------+-----------+ | 0x11EF799F5D99054288CC020017091C01 | 1 | 2024-09-23 11:31:24.884514 | Task created by user. | NULL | 0 | SCHEDULED | | 0x11EF799F5D99812188CC020017091C01 | 1 | 2024-09-23 11:31:24.887685 | Task starting. | {"engine_attributes": "{\"demo_embeddings\":\"'{\\n\\\"dialect\\\": {\\\"format\\\": \\\"pdf\\\", \\\"language\\\": \\\"en\\\", \\\"is_strict_mode\\\": false },\\n\\\"file\\\": [\\n{\\n \\\"name\\\": \\\"demo_folder/demo_file.pdf\\\",\\n \\\"bucket\\\": \\\"demo_bucket\\\",\\n \\\"region\\\": \\\"us-ashburn-1\\\",\\n \\\"namespace\\\": \\\"demo_namespace\\\"\\n}\\n]}'\"}"} | 0 | RUNNING | | 0x11EF799F6390FD9788CC020017091C01 | 1 | 2024-09-23 11:31:34.898219 | Loading in progress... | {"tables_to_load": "[{\"table_name\": \"demo_embeddings\", \"load_progress\": 10.0}]"} | 10 | RUNNING | | 0x11EF799F668C172F88CC020017091C01 | 1 | 2024-09-23 11:31:39.899271 | Loading in progress... | {"tables_to_load": "[{\"table_name\": \"demo_embeddings\", \"load_progress\": 40.0}]"} | 40 | RUNNING | | 0x11EF799F6987348588CC020017091C01 | 1 | 2024-09-23 11:31:44.900419 | Loading in progress... | {"tables_to_load": "[{\"table_name\": \"demo_embeddings\", \"load_progress\": 40.0}]"} | 40 | RUNNING | | 0x11EF799F6C82547D88CC020017091C01 | 1 | 2024-09-23 11:31:49.901634 | Loading in progress... | {"tables_to_load": "[{\"table_name\": \"demo_embeddings\", \"load_progress\": 40.0}]"} | 40 | RUNNING | +------------------------------------+---------+----------------------------+------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------+-----------+