117 lines
3.5 KiB
Go
117 lines
3.5 KiB
Go
package dao
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import (
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"context"
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"fmt"
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"rag/consts/public"
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"rag/model/dto"
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"rag/model/entity"
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"gitea.com/red-future/common/db/gfdb"
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"gitea.com/red-future/common/full-text-search/meilisearch"
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"github.com/gogf/gf/v2/database/gdb"
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"github.com/gogf/gf/v2/text/gstr"
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"github.com/gogf/gf/v2/util/gconv"
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"github.com/pgvector/pgvector-go"
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)
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var DocumentChunk = new(documentChunkDao)
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type documentChunkDao struct{}
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// BatchInsert 批量插入文件块
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func (d *documentChunkDao) BatchInsert(ctx context.Context, req []*dto.VectorDocumentChunkMsg) (rows int64, err error) {
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var res []*entity.DocumentChunk
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if err = gconv.Structs(req, &res); err != nil {
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return
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}
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r, err := gfdb.DB(ctx, public.DbNameVector).Model(ctx, public.TableNameDocumentChunk).Data(&res).Insert()
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if err != nil {
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return
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}
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return r.RowsAffected()
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}
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// Update 更新文件块
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func (d *documentChunkDao) Update(ctx context.Context, req *dto.UpdateDocumentChunkReq) (rows int64, err error) {
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model := gfdb.DB(ctx, public.DbNameVector).Model(ctx, public.TableNameDocumentChunk)
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r, err := model.Data(&req).Where(entity.DocumentChunkCol.Id, req.Id).Update()
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if err != nil {
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return
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}
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return r.RowsAffected()
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}
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// List 文件块列表
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func (d *documentChunkDao) List(ctx context.Context, req *dto.ListDocumentChunkReq, fields ...string) (res []*entity.DocumentChunk, total int, err error) {
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model := gfdb.DB(ctx, public.DbNameVector).Model(ctx, public.TableNameDocumentChunk).Fields(fields).OmitEmpty().
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Where(entity.DocumentChunkCol.DatasetId, req.DatasetId).
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Where(entity.DocumentChunkCol.DocumentId, req.DocumentId).
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Where(entity.DocumentChunkCol.Status, req.Status).
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Where(entity.DocumentChunkCol.VectorStatus, req.VectorStatus).
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OrderDesc(entity.DocumentChunkCol.CreatedAt)
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if req.Page != nil {
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model.Page(int(req.Page.PageNum), int(req.Page.PageSize))
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}
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r, total, err := model.AllAndCount(false)
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if err != nil {
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return
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}
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err = r.Structs(&res)
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return
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}
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func (d *documentChunkDao) GetAllByVector(ctx context.Context, datasetId []int64, queryVec pgvector.Vector, topK int) (list gdb.List, err error) {
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sql := `
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SELECT id, content, dataset_id, document_id,
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vector <=> ? AS distance
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FROM rag_vector_document_chunk
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WHERE dataset_id IN (?)
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AND vector IS NOT NULL
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ORDER BY distance ASC
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LIMIT ?
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`
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// 顺序：vector, dataset_id, topK
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result, err := gfdb.DB(ctx, public.DbNameVector).GetAll(ctx, sql, queryVec, datasetId, topK)
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if err != nil {
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return nil, err
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}
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return result.List(), nil
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}
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// SearchByKeywords 通过关键词全文检索文档块
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func (d *documentChunkDao) SearchByKeywords(ctx context.Context, query string, datasetIds []int64, topK int) (list gdb.List, err error) {
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// 构建 meilisearch 查询参数
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searchParams := &meilisearch.SearchParams{
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Query: query,
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Limit: int64(topK),
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ShowRankingScore: true,
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}
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// 构建 datasetIds 过滤条件
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if len(datasetIds) > 0 {
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datasetIdStrs := gconv.Strings(datasetIds)
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quotedIds := make([]string, len(datasetIdStrs))
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for i, id := range datasetIdStrs {
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quotedIds[i] = fmt.Sprintf("%s", id)
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}
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searchParams.Filter = fmt.Sprintf("dataset_id IN [%s]", gstr.Implode(", ", quotedIds))
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}
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// 执行搜索
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var hits []map[string]interface{}
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_, err = meilisearch.DB().Search(ctx, searchParams, public.IndexNameDocumentChunk, &hits)
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if err != nil {
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return nil, err
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}
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// 转换查询结果为 gdb.List
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resultList := make(gdb.List, 0, len(hits))
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for _, hit := range hits {
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resultList = append(resultList, hit)
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}
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return resultList, nil
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}
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