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* 4.7-alpha3 (#62) * doc * Optimize possible null Pointers and parts of Ux * fix: mulity index training error * feat: doc and rename question guide * fix ios speech input (#59) * fix: prompt editor variables nowrap (#61) * change openapi import in http module with curl import (#60) * chore(ui): dataset import modal ui (#58) * chore(ui): dataset import modal ui * use component * fix height * 4.7 (#63) * fix: claude3 image type verification failed (#1038) (#1040) * perf: curl import modal * doc img * perf: adapt cohere rerank * perf: code * perf: input style * doc --------- Co-authored-by: xiaotian <dimsky@163.com> * fix: ts * docker deploy * perf: prompt call * doc * ts * finish ui * perf: outlink detail ux * perf: user schema * fix: plugin update * feat: get current time plugin * fix: ts * perf: fetch anamation * perf: mark ux * doc * perf: select app ux * fix: split text custom string conflict * peref: inform readed * doc * memo flow component * perf: version * faq * feat: flow max runtimes * feat: similarity tip * feat: auto detect file encoding * Supports asymmetric vector model * fix: ts * perf: max w * move code * perf: hide whisper * fix: ts * feat: system msg modal * perf: catch error * perf: inform tip * fix: inform --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com> Co-authored-by: xiaotian <dimsky@163.com>
40 lines
1014 B
TypeScript
40 lines
1014 B
TypeScript
/* vector crud */
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import { PgVector } from './pg/class';
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import { getVectorsByText } from '../../core/ai/embedding';
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import { InsertVectorProps } from './controller.d';
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import { VectorModelItemType } from '@fastgpt/global/core/ai/model.d';
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const getVectorObj = () => {
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return new PgVector();
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};
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export const initVectorStore = getVectorObj().init;
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export const deleteDatasetDataVector = getVectorObj().delete;
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export const recallFromVectorStore = getVectorObj().recall;
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export const getVectorDataByTime = getVectorObj().getVectorDataByTime;
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export const getVectorCountByTeamId = getVectorObj().getVectorCountByTeamId;
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export const insertDatasetDataVector = async ({
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model,
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query,
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...props
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}: InsertVectorProps & {
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query: string;
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model: VectorModelItemType;
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}) => {
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const { vectors, tokens } = await getVectorsByText({
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model,
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input: query,
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type: 'db'
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});
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const { insertId } = await getVectorObj().insert({
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...props,
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vectors
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});
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return {
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tokens,
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insertId
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};
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};
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