2025甲骨文全球AI大会:Whats New and Whats Next for GenAI and ML on Autonomous Database_第1页
2025甲骨文全球AI大会:Whats New and Whats Next for GenAI and ML on Autonomous Database_第2页
2025甲骨文全球AI大会:Whats New and Whats Next for GenAI and ML on Autonomous Database_第3页
2025甲骨文全球AI大会:Whats New and Whats Next for GenAI and ML on Autonomous Database_第4页
2025甲骨文全球AI大会:Whats New and Whats Next for GenAI and ML on Autonomous Database_第5页
已阅读5页,还剩55页未读 继续免费阅读

下载本文档

版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领

文档简介

What’s

NewandWhat’s

NextforGenAIand

MLonAutonomousAI

Database[LRN2911]Madhu

BabuVitta,

DropboxMark

Hornick,Oracle

Kumar

Rajamani,OracleOctober

14,

2025Safe

harborstatementThefollowing

is

intendedtooutline

ourgeneral

productdirection.

It

is

intendedforinformation

purposesonly,and

may

not

be

incorporated

intoany

contract.

It

is

not

acommitmenttodeliverany

material,

code,orfunctionality,

and

should

not

be

relied

upon

in

making

purchasing

decisions.The

development,

release,timing,

and

pricing

ofanyfeatures

orfunctionality

describedforOracle’s

products

maychangeand

remains

atthe

solediscretion

ofOracleCorporation.Copyright

©2025,Oracle

and/or

itsaffiliatesSelectAICopyright

©2025,Oracle

and/or

itsaffiliatesLack

ofcomprehensivesecurityandgoodgovernanceWhy

do

AI

Projects

fail

or

not

even

start?Lack

ofcompleteand

reliable

dataand

metadataLackofwell-definedproblemsalignedtobusinessgoalsCopyright

©

2025,

Oracleand/oritsaffiliatesAvoidexpensiveduplication

byfederatingmetadataand

dataaccessChooseanAIframeworkwith

built-insecurityandgovernanceBringdatacloser

to

the

businessusersSuccessfulAI

ProjectsCopyright

©

2025,

Oracleand/oritsaffiliatesSelectAIGoalReducethe“distance”

betweenbusiness

usersandtheir

dataGetanswers

fromstructuredandunstructuredsourcesusingnaturallanguage

withoutthecomplexityofunderlyingplatformorimplementationdetails7Copyright

©2025,Oracle

and/or

its

affiliatesPlatformFully

managedelasticservice;

built-in

dataconnectorsand

APIs(Autonomous

Database)FrameworkNL2SQL,AIAgents,

RAG–

integratedwith

LLMs(SelectAI)SelectAIcan

be

used

onany

23.xOracle

databaseand

NL2SQL

on

ADB

19c–

prerequisites

mayvarySyntheticdata

generationAISecurityIn-databaseagents“AskOracle”,SelectAI

Admin,SelectAI

Inspect,testdatagenerator

…CustomerOutcomesBuildingonafirm

foundationCopyright

©2025,Oracle

and/or

itsaffiliatesSelectAIframeworkvisionSelectAISelectAI

isOracle’s

in-databasegatewaytoAI

models—vertically

integrated,secure,

and

builtto

scalePublic/Private

LLMsAIAgentsCosttrackingSecurity&GuardrailsModelAccessObservabilityAPIsAuditing&

LoggingPromptManagementBudgetsRate

LimitingPublic/Private

TransformersIn-databaseTransformersCopyright

©2025,Oracle

and/or

itsaffiliatesUser9“totalsalesforthis

month”“top

10

productsby

sales”“top

10salesregionby

product”Service

REDSHIFTsnowflake

Answerquestionsaboutdata

inawide

range

ofdata

storesVideo:UnlockallyourdatawithAutonomous

Database

"Sidecar"and

Select

AIBlog:Unlocking

DataforAllwithSidecar:

Empowering

Business

UserswithAI-Driven

InsightsLLM

ofyourchoiceFederatequeryacross

multipledata

sourcesCreatematerialized

views

for

efficientdata

accessGenerateSQLFederatedqueryCloudApplicationsClouddata

sourcesExadata

Exadata

C@CObjectStorageApplications-cloud&

on

premisesOn-premisesdatabasesCopyright

©2025,Oracle

and/or

itsaffiliatesSidecarADBExadata

Database

Azure

SQLAmazon10Augmented

PromptGenerateSQLusing

LLMExamples•

What

areourtop

10streamed

movies•Findthetop

3

baby

boomer

bigspendersAutomatedPipelineSelectAINL2SQL–

querygenerationworkflowSingle-turn

LLM

invocationwithaugmented

promptMetadata

sentto

LLM•

Table

names•

Column

namesand

datatypes•

Commentsontables

andcolumns•

Constraints•

Annotations

(23ai)11Copyright

©2025,Oracle

and/or

itsaffiliates

SQL>SELECTAISHOWSQLwhat

areour

top

10

streamed

moviesNL

PromptDBSchemaMetadataSQL

QueryLLMs

may

notcorrectly

interpretthecolumnnames,date/time

formats

leadingto

incorrectSQLQuestions

may

require

combining

database

knowledgewith

websearchorgeneral

industry

knowledge

in

LLMsQuestions

may

notcontainstringsexactly

matchingthevalues

stored

inthedatabase,e.g.,

USvs

UnitedStatesofAmericaLLMscan

hallucinateand

producewrong

OracleSQLsyntax

leading

tofailed

responseto

userNL2SQLChallengesIssuesfordesigningadata

retrieval

chat

assistant12Copyright

©2025,Oracle

and/or

itsaffiliates

SQLSyntaxErrorsDB

+WebsearchPredicateMismatchMissingAnnotationsSelectAI:What’s

new

…Copyright

©2025,Oracle

and/or

itsaffiliatesBuilt-in

ReAct

agentic

patternTool

options•

Build

customtools

using

PL/SQL•

Invokeexternaltools

using

REST•Use

cloudfunctions

such

as

OCI

Functions

andAWS

Lambdafunctions•Use

Select

AI-provided

pre-built

toolsAutomaticshort-termand

long-term

memory

managementforagents

Multi-turn

chat

using

conversationsOpenAgentSpecificationforagent

import

andexportSelectAIAgent–anautonomousagentframeworkDBMS_CLOUD_AI_AGENT

packageSimple,automatedframeworkto

build,deploy,and

manageAI

agentsAgentReasoningRefineEvaluationMemoryprompt——

LLMToolsCopyright

©2025,Oracle

and/or

itsaffiliatesOracleAutonomousAI

DatabaseTool/AnswerEnvironmentAugmentedResponseFeedbackPromptAct

onUse14SelectAIAgent–anautonomousagentframeworkAsimpleframeworkto

build,

deploy,

and

manageAIagentsDevelopers

defineagentsdeclaratively

using

PL/SQL

or

PythonCorecomponents•

Tool–asoftwarefeatureor

integrationthat

enables

an

AIagentto

performaspecificfunction

or

interactwith

external

systemsas

partofan

automated

workflow•

Task–aspecificaction

or

unitofwork

assigned

to

an

AI

agent

to

performas

partofan

automated

workflow•

Agent–anactorwitha

clearly-defined

rolethat

performs

assignedtasksas

partofan

overall

workflow•

AgentTeam–oneor

moreagentsthat

maycollaborate

to

completetaskswithin

anautomatedworkflowMCPToolCustomPL/SQLGenerateemailTaskSummarizeSales

RepAgentDataScientistCustomerSupportAgentAgentTeamEmployeeOnboardingAgentDataAnalystCloud

EngineerTranslatorFetch

logsAnalyzedataClassify

issueSQL/RAGWebsearchEmail/SlackCopyright

©2025,Oracle

and/or

itsaffiliatesDataScienceAgentValidatedataResearcherAgent15AgenticSelectAIAnagent

built

usingcoreSelect

AI

capabilitiesEnable

userstoderivegreatervaluefrom

data•Combinewebsearchwith

datastored

in

database•Discover

database

metadata/datafor

more

accurateSQLqueries•Optionally

includevectorsearch–

RAG+SQL+

Web

searchAutomatedata

retrieval

andanalysis•Natural

languageto

access

data•Reduce

human

resources

requiredtodiscoverand

search

data•Reduce

barriertoentryforenterprise

customers

using

Select

AIAgenticSelectAIWEB

RAGCopyright

©2025,Oracle

and/or

itsaffiliates[7,45,

2,

8]SQLLLM16WebsearchSelectAI

RUNSQLPredicate

SearchSample

RowsPrompt-

-

-

-

-

-

-

-

-

-uAgent

TaskAgenticSelectAIBuildinganAgent

usingSelect

AIAgent17Copyright

©2025,Oracle

and/or

itsaffiliates

Analyzeand

ReportData

AnalystResponseToolsUserUser18Copyright

©2025,Oracle

and/or

itsaffiliates

SelectAI:What’s

next

…Copyright

©2025,Oracle

and/or

itsaffiliatesSelectAIVerifyHelp

improve

responseaccuracySelectAI

ObserveUnderstandyourAI

usageSelectAI

SecureEnhancedguardrails,auditing,

loggingAnnouncing

…Copyright

©2025,Oracle

and/or

itsaffiliatesLLM-as-a-Judge•Use

one

LLMto

checkthe

results

of

another•Includes

prompt

+

response

+

contextDynamicallychoose“best”LLMfor

each

prompt•Collectstimingand

result

qualitydataon

prompts

run

against

multiple

LLMs•Selects

most

appropriate

LLMfor

each

new

prompt•Built-In

cost

control

and

smart

routing-“Kayak”

approach

to

optimize

LLM

usage-Balancecost

efficiency,

speed,

and

accuracy•Enabled

using

"model":"automatic"•Applicableto

NL2SQL,

RAG,

andgeneralchat

responsesSelectAIVerifyMulti-prongedapproachto

increasing

resultqualitywhileachieving

cost

efficiencyLLM?$$$$$$$$$$LLMLLMLLMLLMLLMCopyright

©2025,Oracle

and/or

itsaffiliatesCosttracking•TrackAI

usage

by

user,team,AI

profile,database,agent,

and

application•Metrics:tokens

used,cost/token,

andAI

model

calls

by

provider

and

model•UsesVPD

policiesto

knowwho

the

app

user

is

and

assign

coststo

that

userBudgeting•Limit

use

by

user,AI

profile,database,

agent,

and

application•Metrics

include

maximumtokens

per

unitoftimeRate

limiting•Addressfairnessofaccess

and

denial

ofservice

concerns•Limit

by

user,AI

profile,database,

agent,

and

application•Metrics

include

maximum

requests

per

unitoftimeInteraction

history•NL2SQLviaV$CLOUD_AI_SQL

and

conversationviews•RAG

and

chatvia

conversation

views•Agentvia

agentviewsSelectAIObserveGain

insight

inAI

model

usagethrough

history,

usagetracking,

budgeting,and

rate

limitingLLM

What,smyannualrevenue?$$$Copyright

©2025,Oracle

and/or

itsaffiliates

$_____________________________SelectAISecureLeverageadditionalguardrailsandauditing

capabilities

along

with

loggingGuardrails•

Existingguardrails:specifyallowedtables

and

metadata

inAI

profile;

use

read-only;controldatasharing

with

LLM•

Enhancedguardrails:enforcecustom

rulesabout

generated

SQL;

auto-retry

ifvalidationfailswithcorrected

SQLAuditing•

Record

and

persist

LLM

interactions

usingconversationAPI•

Admincancontrolaudit

trail

for

SQL

generationLogging•

Augmentaudittrailwithverbose,customizable

details

(app

context,

objects

used,

user

IPaddress,etc.)•

Enable

userto

pushdatatoobjectstorage

logs

to

enable

processing

byexternaltoolsviadatabaseaudit

pipelinesCopyright

©2025,Oracle

and/or

itsaffiliatesRoadmap:SelectAIAgentAdditional

agentic

patterns•Multi-agent

supervisor–coordinates

multipleagentstogenerate

the

result•Plan-and-execute

–creates

a

step-by-step

plan

to

solve

a

taskExtendworkflowoptionsforcustom

agentic

applications•Conditional

branching

betweentools•Customdataflowandcontrol

flow

between

agent

and

tools

Invoke

long

runningtasksasynchronouslySimplified

state

managementfortoolsKnowledgegraphfor

memory

managementPythonAPIforSelectAI

AgentCopyright

©2025,Oracle

and/or

itsaffiliates24

Enforceauthenticationand

authorizationAdditional

MCPservercapabilities

Inspectwhattoolsare

beingcalled

and

withwhat

data

Usetoolsdefined

usingSelectAI

Agent

Modify

requestsand

responsesonthefly

Block

potentially

dangeroustoolcalls

Logall

interactionsforsecurity

auditing

Enforce

policies

atthe

protocol

level

Trackdataexfiltration

(anADBfeature)out-of-the-boxMulti-tenantMCPServersTools•

Catalog•Tools

defineviaSelectAI

Agent•

ML/Graph/Spatial•

Life-cycleoperations•

Database

metricsAutonomousAI

Databasefully-managed

MCPserverSecurity

layercommonto

HTTPaccessOracleAutonomousAIDatabase

CloudMCP

Client

Enforce

networkACLsCopyright

©2025,Oracle

and/or

itsaffiliatesSecur

ity

layer25Strengthenchange

reliability

Trackobject

dependenciesto

prevent

breakagesAccelerateonboardingExploreschema

usingAIsummariesfor

Pl/SQLcodeStayaudit-readyDetect

sensitive

dataforGDPR/CCPA

complianceModernizedocumentationGenerate

ER

diagramsand

PL/SQLdocumentationRoadmap:SelectAI

InspectBuilt-inagentsupportingdatabase

developersCopyright

©2025,Oracle

and/or

itsaffiliatesSQLOptimization+

SQL

PerformanceDiagnose

performance

issue

onSQL,generate

solutions

or

optimized

rewritten

SQLRoadmap:SelectAIAdminBuilt-inagentsupportingadministrative

activitiesEnabledviaaction‘admin,ApplicationPerformanceDiagnose

performance

issue

on

userapplicationDatabase

PerformanceDiagnose

performance

issueon

user

databaseCopyright

©2025,Oracle

and/or

itsaffiliatesCreate

URLsfortables,views,orSQL–securely

LIVE

data!Sharethe

URL

linkto

business

usersto•

View

it

inthe

browser•

View

it

inan

ExcelSpreadsheet•

View

it

inGoogle

SheetsNote:

ExcelandGoogleSheets

have

theMarketplaceAutonomous

Database

pluginhttps://dataaccess.adb.us-ashburn-1./adb/p/F5Sn..._example/data?view=tableTable

HyperlinksCopyright

©2025,Oracle

and/or

itsaffiliates28•Query

predicatesget

pushed

down

into

regional

ADB•Create

MVon

an

externaltable

to

cache

data

(built-in

caching

coming

soon)

Query

ExternaltableUSERCONFIGexternaltable

inADB@Region2

Query

ExternaltableUSERCONFIGexternaltable

inADB@Region3

Query

ExternaltableUSERCONFIGexternaltable

inADB@Region4

Query

ExternaltableSharedataacrossregionsUSER

CONFIG

external

table

in

ADB@Rgion1APP

USERCONFIGTABLETable

hve

rinkCopyright

©2025,Oracle

and/or

itsaffiliates|Confidential:

Internal/Restricted/Highly

RestrictedADB

inanyOCI

orAzure/Googleregion29For

more

information

on

Select

AI

…BlogsAnnouncing

OracleAutonomous

DatabaseSelectAI

Feedbackfor

enhanced

SQLquerygenerationBuild

Chatbots

usingtheOracleAutonomous

DatabaseSelectAI

Conversation

Management

APISupercharge

SQL:

UnleashingAI

Querieswith

OracleAutonomous

DatabaseSelectAI6SimpleTipsfor

BetterText-to-SQL

Generation

using

OracleAutonomous

DatabaseSelect

AI

Unlocking

DataforAllwithSidecar:

Empowering

Business

UserswithAI-Driven

InsightsDocumentation/en-us/iaas/autonomous-database-serverless/doc/sql-generation-ai-autonomous.htmlLiveLabsChatwithYour

Data

inAutonomous

Database

Using

GenerativeAIDevelop

apps

using

GenAI,Autonomous

Database,

and

ReactDevelopAI

RAGAppswithAutonomous

DatabaseSelect

AIVideosGetStartedwithSelectAI

onAutonomous

DatabaseSimplify

Developing

RAGApplicationsDropbox-AI

FinanceAssistantCopyright

©2025,Oracle

and/or

itsaffiliatesDevelopa

FinancialAssistantthatenables

natural-languagequeries

againstdata

inOracleAutonomousAI

Database.Enable

business

usersto

performflux/varianceanalysesandgenerate

reports

rapidly,without

relianceontechnicalteams.Sample

prompts•Quarter-to-date

(QTD)activity

byvendorforaspecified

GL

account•GLdetailsforthetopthreevendorswithin

a

GL

account

across

comparable

periods•FXactivity

bycurrencyacross

comparable

periods,

with

GL-level

detail

where

availableGoalCopyright

©2025,Oracle

and/or

itsaffiliatesOracleAutonomousAI

DatabasewithSelect

AIgenerated

SQLquery

augmentedpromptOCIGenerative

AISolutionArchitectureCopyright

©2025,Oracle

and/or

itsaffiliatesgeneratedSQLqueryuser

promptuser

promptUserAPEXresultAsk

OracleChatbotUserinterfacesCopyright

©2025,Oracle

and/or

itsaffiliatesFluxAnalysisBy

usingOracleGenerativeAIwithSelectAI,we

gain

several

advantages•Enables

natural

languagequeryingofdatabases,

removingthe

needfor

SQL

expertise•

Accelerates

developer

productivity

bygeneratingSQLqueriesfromsimple

prompts•Empowers

users

acrosstheorganizationtoaccess

data

intuitively

and

securely•

Supportsconversational

interactionsforcontext-awarefollow-upquestions•Integrateswith

leadingAI

providersto

usea

wide

range

of

LLMs

for

advancedAI-driven

insights•

AutomatesSQLgeneration,execution,and

explanationto

streamline

workflows•

Seamlessly

integratedwithinOracleAutonomousAI

Database,

requiring

noextra

setup•Drivesoperationalefficiencyand

informed

decision-making

throughAI-powered

analyticsValueCopyright

©2025,Oracle

and/or

itsaffiliates•DevelopedanOracleAPEX

appforflux

analysis•Builtan

Oracle

DigitalAssistant

(ODA)app•Embeddedtheapp

inVBCSforseamless

navigationfrom

FusionUpcoming

Initiatives•

IntegrateChatGPTwithSelectAIto

enable

natural-language

queriesvia

a

custom

GPT•DeploytheOracle

DigitalAssistant

(ODA)appas

a

Slack

chatbot•

ExpandSelectAI

usewithadditionalADB

datasets

andcontinue

prompttestingacross

use

cases•Implement

row-level

securityDelivered

MilestonesCopyright

©2025,Oracle

and/or

itsaffiliatesIntegrateChatGPTwithSelect

AICopyright

©2025,Oracle

and/or

itsaffiliatesOracle

Machine

LearningCopyright

©2025,Oracle

and/or

itsaffiliatesOracle

Machine

LearningMachine

learningalgorithms

inthedatabase

kernelsoftware•

Eliminatedata

movement•Simplifysolution

architectures•Speed

upsolutiondevelopment

anddeployment

for

SQL,

R,

Python,

RESTNo-code

user

interfaces

and

RESTservices

onAutonomousAI

Database•UIsfor

notebooks,

dataand

model

monitoring,

andAutoML•REST

servicesfor

model

deployment,

management,

monitoring,

biasdetectionBring-your-own-modelstoyourdatabaseOracle

MachineLearningdatabasefeatures

includedwithOracleAI

Database

and

Oracle

AutonomousAI

DatabaseOver30

scalablein-database

MLalgorithmsusingSQL,

R,and

Python

APIs,

andONNX-format

bring-your-

own-modeloptionsMLfunctionality

in

Oracle’s

convergeddatabase

withspatial,graph,

blockchain,AI

VectorSearch,JSONEasily

usewithOAS/OAC,

OracleAPEX,OCI

DS,

ODI,

SelectAI,and

othersCopyright

©2025,Oracleand/or

itsaffiliatesin-databaseMachine

LearningOMLServices

Data

Bias

DetectionADB

Serverless–

2024OML

Monitoring

UI

ADB

Serverless–

2023/24OML4R

2.0ADB

Serverless&ODB–

2023OML4Py

2.0ADB

Serverless

2023OML4RADB

Serverless

2022OML

Notebooks

ADB

Serverless-

2022Oracle

R

Enterprise

1.0Oracle

Database11gR2

-

2011DBMS_DATA_MININGOracle

Database

11gR2-2009Copyright

©2025,Oracle

and/or

itsaffiliates

OMLfor

Python

1.0

ADB

Serverless–

2021Oracle

Data

MinerSQL

Developer

Extension11gR2–2010Acquired

in

1999EvolutionofOML

NotebookswithGPUsADB

Serverless–

2024OracleAdvancedAnalyticsOptionOracle

Database–2011JavaAPIforin-databasealgorithmsOracle

Database9iR2-

2002OML4Py

2.1ADB

Serverless&ODB–

2025OML

Notebooks2.0

ADB

Serverless-

2023Oracle

Data

Miner

ADB

-

2022OML4SQLfor23.7ADB&ODB–

2025OML4Py

1.0Oracle

Database2022DBMS_DATA_MINING

Oracle

Database

11gR1-2007OMLServicesADB

Serverless–

2021OMLAutoML

UIADB

Serverless-

2021DM4J

User

Interface

Oracle

Database

10R2-

2005DBMS_DATA_MININGOracle

Database

10gR1-2004In-database,

parallelized,distributed

algorithms•No

extracting

data

to

separateML

engines•Scalabilityacross

cluster

nodes•Optimized

memory

utilization•Scoring

uses

Exadatastorage-tier

function

push-downoptimizations•

Batch/real-timescoringML

modelsasfirst-class

databaseobjects•Access

control

per

model•Audit

user

actions•

Export/

import

models

across

databases•

Ease

of

backup,

recovery,

andsecurityFastertime-to-marketthroughimmediatesolutiondeployment•

Use

prediction

operators

in

SQL

queries•

Make

predictionsfrom

R

and

Python•Deploy

models

on

ADB-S

using

no-code

and

REST

interfacesOracle

Machine

Learningin-database

MLalgorithmsCopyright

©2025,Oracle

and/or

itsaffiliates41OML:What’s

new

…Copyright

©2025,Oracle

and/or

itsaffiliatesPlus…integratedtextmining,explanatorypredictiondetails,partitionedmodels,automaticdatapreparation*Algorithmsupports

VECTORoutput

(23.7+)

+Algorithmsupports

VECTORinput(23.7+)Generalized

Linear

Model(GLM)+Neural

Network

+SupportVector

Machine(SVM)

+Linear

regressionw/featureselection/generation

XGBoost

(21c)DecisionTreeExplicitSemanticAnalysisLogistic

Regression

(GLM)Naïve

BayesNeural

NetworkRandom

ForestSupportVector

Machine(SVM)XGBoost

(21c)ExponentialSmoothingMultipleTimeSeries

(23ai)forTS

Regression

Includespopularmodelse.g.Holt-Winterswith

trends,seasonality,irregulartimeseriesXGBoost

(21c)Copyright

©2025,Oracle

and/or

itsaffiliatesIn-database

MLalgorithmssupportingvectorinputandoutputPrincipalCompAnalysis

(PCA)+Non-negative

Matrix

FactorizationSingularValue

Decomposition

(SVD)ExplicitSemanticAnalysis

(ESA)Minimum

Description

LengthRandom

ForestUnsupervised

Pairwise

KL

Divergence

CUR

DecompositionClusteringRankingRegressionFeature

Extraction

*ClassificationTimeSeriesAnomaly

DetectionRow

ImportanceAssociation

RulesAttribute

ImportanceSurvivalAnalysisHierarchical

K-Means

+HierarchicalO-ClusterExpectation

MaximizationOne-ClassSVMMSET-SPRT(21c)Expectation

Maximization

(23ai)CUR

DecompositionA

prioriXGBoost+++++Bring-your-own-modelLoadtransformers,classification,

regression,andclustering

modelsas

first-class

database

objectsOML4PyONNXPipelineandonnxclasses•

CreatesONNX-format

modelsfrom

Hugging

Facetransformers•

Automates

handlingof

requiredtransformer

pre-and

post-processingstepsfor

in-database

use•

Loads

modelsto

usewith

in-databaseONNX

Runtimeorexports

modelto

fileimport

omlfromoml.utilsimport

ONNXPipelinepipeline=ONNXPipeline(model_name="sentence-transformers/all-MiniLM-L6-v2")pipeline.export2db("all-MiniLM-L6-v2-bundle")pipeline.export2file("all-MiniLM-L6-v2-bundle")onnx_model=oml.onnx(onnx_file=

"ALL-MINILM-L6-V2-bundle.onnx",mining_function=

"embedding",model_input={"input":["text_data"]})onnx_model.load2db("minilm")23aiOracleAIDatabasewithin-databaseONNXRuntimeBlog:AnnouncingOracle

Machine

Learningfor

Python2.1Copyright

©2025,Oracle

and/or

itsaffiliatesVectordatatype

oml.Vector•Use

DataFrame

proxy

objectsfor

da

温馨提示

  • 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
  • 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
  • 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
  • 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
  • 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
  • 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
  • 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

评论

0/150

提交评论