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4.6.8-alpha (#804)

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* perf: redirect request and err log replace

perf: dataset openapi

feat: session

fix: retry input error

feat: 468 doc

sub page

feat: standard sub

perf: rerank tip

perf: rerank tip

perf: api sdk

perf: openapi

sub plan

perf: sub ui

fix: ts

* perf: init log

* fix: variable select

* sub page

* icon

* perf: llm model config

* perf: menu ux

* perf: system store

* perf: publish app name

* fix: init data

* perf: flow edit ux

* fix: value type format and ux

* fix prompt editor default value (#13)

* fix prompt editor default value

* fix prompt editor update when not focus

* add key with variable

---------

Co-authored-by: Archer <545436317@qq.com>

* fix: value type

* doc

* i18n

* import path

* home page

* perf: mongo session running

* fix: ts

* perf: use toast

* perf: flow edit

* perf: sse response

* slider ui

* fetch error

* fix prompt editor rerender when not focus by key defaultvalue (#14)

* perf: prompt editor

* feat: dataset search concat

* perf: doc

* fix:ts

* perf: doc

* fix json editor onblur value (#15)

* faq

* vector model default config

* ipv6

---------

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
This commit is contained in:
Archer
2024-02-01 21:57:41 +08:00
committed by GitHub
parent fc19c4cf09
commit 34602b25df
285 changed files with 10345 additions and 11223 deletions
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8
packages/service/core/dataset/training/controller.ts
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@@ -40,12 +40,12 @@ export async function pushDataListToTrainingQueue({
trainingMode = TrainingModeEnum.chunk,
vectorModelList = [],
qaModelList = []
datasetModelList = []
}: {
teamId: string;
tmbId: string;
vectorModelList: VectorModelItemType[];
qaModelList: LLMModelItemType[];
datasetModelList: LLMModelItemType[];
} & PushDatasetDataProps): Promise<PushDatasetDataResponse> {
const {
datasetId: { _id: datasetId, vectorModel, agentModel }
@@ -68,7 +68,7 @@ export async function pushDataListToTrainingQueue({
}
if (trainingMode === TrainingModeEnum.qa) {
const qaModelData = qaModelList?.find((item) => item.model === agentModel);
const qaModelData = datasetModelList?.find((item) => item.model === agentModel);
if (!qaModelData) {
return Promise.reject(`Model ${agentModel} is inValid`);
}
@@ -150,7 +150,7 @@ export async function pushDataListToTrainingQueue({
model,
q: item.q,
a: item.a,
chunkIndex: item.chunkIndex ?? i,
chunkIndex: item.chunkIndex ?? 0,
weight: weight ?? 0,
indexes: item.indexes
}))