Files
FastGPT/packages/service/common/vectorStore/controller.ts
Archer f642c9603b V4.9.4 feature (#4470)
* Training status (#4424)

* dataset data training state (#4311)

* dataset data training state

* fix

* fix ts

* fix

* fix api format

* fix

* fix

* perf: count training

* format

* fix: dataset training state (#4417)

* fix

* add test

* fix

* fix

* fix test

* fix test

* perf: training count

* count

* loading status

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Co-authored-by: heheer <heheer@sealos.io>

* doc

* website sync feature (#4429)

* perf: introduce BullMQ for website sync (#4403)

* perf: introduce BullMQ for website sync

* feat: new redis module

* fix: remove graceful shutdown

* perf: improve UI in dataset detail

- Updated the "change" icon SVG file.
- Modified i18n strings.
- Added new i18n string "immediate_sync".
- Improved UI in dataset detail page, including button icons and
background colors.

* refactor: Add chunkSettings to DatasetSchema

* perf: website sync ux

* env template

* fix: clean up website dataset when updating chunk settings (#4420)

* perf: check setting updated

* perf: worker currency

* feat: init script for website sync refactor (#4425)

* website feature doc

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Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com>

* pro migration (#4388) (#4433)

* pro migration

* reuse customPdfParseType

Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com>

* perf: remove loading ui

* feat: config chat file expired time

* Redis cache (#4436)

* perf: add Redis cache for vector counting (#4432)

* feat: cache

* perf: get cache key

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Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com>

* perf: mobile voice input (#4437)

* update:Mobile voice interaction (#4362)

* Add files via upload

* Add files via upload

* Update ollama.md

* Update ollama.md

* Add files via upload

* Update useSpeech.ts

* Update ChatInput.tsx

* Update useSpeech.ts

* Update ChatInput.tsx

* Update useSpeech.ts

* Update constants.ts

* Add files via upload

* Update ChatInput.tsx

* Update useSpeech.ts

* Update useSpeech.ts

* Update useSpeech.ts

* Update ChatInput.tsx

* Add files via upload

* Update common.json

* Update VoiceInput.tsx

* Update ChatInput.tsx

* Update VoiceInput.tsx

* Update useSpeech.ts

* Update useSpeech.ts

* Update common.json

* Update common.json

* Update common.json

* Update VoiceInput.tsx

* Update VoiceInput.tsx

* Update ChatInput.tsx

* Update VoiceInput.tsx

* Update ChatInput.tsx

* Update VoiceInput.tsx

* Update ChatInput.tsx

* Update useSpeech.ts

* Update common.json

* Update chat.json

* Update common.json

* Update chat.json

* Update common.json

* Update chat.json

* Update VoiceInput.tsx

* Update ChatInput.tsx

* Update useSpeech.ts

* Update VoiceInput.tsx

* speech ui

* 优化语音输入组件,调整输入框显示逻辑,修复语音输入遮罩层样式,更新画布背景透明度,增强用户交互体验。 (#4435)

* perf: mobil voice input

---------

Co-authored-by: dreamer6680 <1468683855@qq.com>

* Test completion v2 (#4438)

* add v2 completions (#4364)

* add v2 completions

* completion config

* config version

* fix

* frontend

* doc

* fix

* fix: completions v2 api

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Co-authored-by: heheer <heheer@sealos.io>

* package

* Test mongo log (#4443)

* feat: mongodb-log (#4426)

* perf: mongo log

* feat: completions stop reasoner

* mongo db log

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Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>

* update doc

* Update doc

* fix external var ui (#4444)

* action

* fix: ts (#4458)

* preview doc action

add docs preview permission

update preview action

udpate action

* update doc (#4460)

* update preview action

* update doc

* remove

* update

* schema

* update mq export;perf: redis cache  (#4465)

* perf: redis cache

* update mq export

* perf: website sync error tip

* add error worker

* website sync ui (#4466)

* Updated the dynamic display of the voice input pop-up (#4469)

* Update VoiceInput.tsx

* Update VoiceInput.tsx

* Update VoiceInput.tsx

* fix: voice input

---------

Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com>
Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com>
Co-authored-by: dreamer6680 <1468683855@qq.com>
Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
2025-04-08 12:05:04 +08:00

81 lines
2.2 KiB
TypeScript

/* vector crud */
import { PgVectorCtrl } from './pg/class';
import { ObVectorCtrl } from './oceanbase/class';
import { getVectorsByText } from '../../core/ai/embedding';
import { DelDatasetVectorCtrlProps, InsertVectorProps } from './controller.d';
import { EmbeddingModelItemType } from '@fastgpt/global/core/ai/model.d';
import { MILVUS_ADDRESS, PG_ADDRESS, OCEANBASE_ADDRESS } from './constants';
import { MilvusCtrl } from './milvus/class';
import { setRedisCache, getRedisCache, delRedisCache, CacheKeyEnum } from '../redis/cache';
import { throttle } from 'lodash';
const getVectorObj = () => {
if (PG_ADDRESS) return new PgVectorCtrl();
if (OCEANBASE_ADDRESS) return new ObVectorCtrl();
if (MILVUS_ADDRESS) return new MilvusCtrl();
return new PgVectorCtrl();
};
const getChcheKey = (teamId: string) => `${CacheKeyEnum.team_vector_count}:${teamId}`;
const onDelCache = throttle((teamId: string) => delRedisCache(getChcheKey(teamId)), 30000, {
leading: true,
trailing: true
});
const Vector = getVectorObj();
export const initVectorStore = Vector.init;
export const recallFromVectorStore = Vector.embRecall;
export const getVectorDataByTime = Vector.getVectorDataByTime;
export const getVectorCountByTeamId = async (teamId: string) => {
const key = getChcheKey(teamId);
const countStr = await getRedisCache(key);
if (countStr) {
return Number(countStr);
}
const count = await Vector.getVectorCountByTeamId(teamId);
await setRedisCache(key, count, 30 * 60);
return count;
};
export const getVectorCountByDatasetId = Vector.getVectorCountByDatasetId;
export const getVectorCountByCollectionId = Vector.getVectorCountByCollectionId;
export const insertDatasetDataVector = async ({
model,
query,
...props
}: InsertVectorProps & {
query: string;
model: EmbeddingModelItemType;
}) => {
const { vectors, tokens } = await getVectorsByText({
model,
input: query,
type: 'db'
});
const { insertId } = await Vector.insert({
...props,
vector: vectors[0]
});
onDelCache(props.teamId);
return {
tokens,
insertId
};
};
export const deleteDatasetDataVector = async (props: DelDatasetVectorCtrlProps) => {
const result = await Vector.delete(props);
onDelCache(props.teamId);
return result;
};