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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>
60 lines
1.4 KiB
TypeScript
60 lines
1.4 KiB
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 checkVectorDataExist = getVectorObj().checkDataExist;
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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, charsLength } = await getVectorsByText({
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model,
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input: query
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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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charsLength,
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insertId
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};
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};
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export const updateDatasetDataVector = async ({
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id,
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...props
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}: InsertVectorProps & {
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id: string;
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query: string;
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model: VectorModelItemType;
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}) => {
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// insert new vector
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const { charsLength, insertId } = await insertDatasetDataVector(props);
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// delete old vector
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await deleteDatasetDataVector({
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teamId: props.teamId,
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id
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});
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return { charsLength, insertId };
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};
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