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* perf: insert mongo dataset data session * perf: dataset data index * remove delay * rename bill schema * rename bill record * perf: bill table * perf: prompt * perf: sub plan * change the usage count * feat: usage bill * publish usages * doc * 新增团队聊天功能 (#20) * perf: doc * feat 添加标签部分 feat 信息团队标签配置 feat 新增团队同步管理 feat team分享页面 feat 完成team分享页面 feat 实现模糊搜索 style 格式化 fix 修复迷糊匹配 style 样式修改 fix 团队标签功能修复 * fix 修复鉴权功能 * merge 合并代码 * fix 修复引用错误 * fix 修复pr问题 * fix 修复ts格式问题 --------- Co-authored-by: archer <545436317@qq.com> Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com> * update extra plan * fix: ts * format * perf: bill field * feat: standard plan * fix: ts * feat 个人账号页面修改 (#22) * feat 添加标签部分 feat 信息团队标签配置 feat 新增团队同步管理 feat team分享页面 feat 完成team分享页面 feat 实现模糊搜索 style 格式化 fix 修复迷糊匹配 style 样式修改 fix 团队标签功能修复 * fix 修复鉴权功能 * merge 合并代码 * fix 修复引用错误 * fix 修复pr问题 * fix 修复ts格式问题 * feat 修改个人账号页 --------- Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com> * fix chunk index; error page text * feat: dataset process Integral prediction * feat: stand plan field * feat: sub plan limit * perf: index * query extension * perf: share link push app name * perf: plan point unit * perf: get sub plan * perf: account page --------- Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com> Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>
60 lines
1.5 KiB
TypeScript
60 lines
1.5 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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