feat(api): 新增 RAG 聊天模式和优化 ES 查询功能
- 新增 RAG 聊天模式常量和前端字段设定 - 修改 Encounters Create 方法中的 ES 同步逻辑 - 更新 Rag ChatSSE 和 ChatWebSocket 方法,支持新的聊天模式 - 重构 NlpWebSocketResult 创建函数,使用新增的常量 - 新增 Encounter 的 TopK 方法,用于 ES 向量搜索 - 更新 DocResult 结构,实现 DocInterface 接口 - 修改 prompts.yml,增加 Diary 模式的提示模板
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679d30dc7b
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@ -9,3 +9,10 @@ const (
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RagChatModeDiary string = "Diary" // 查询路遇资料等
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RagChatModeDetect string = "Detect" // 辅助 catface 的辨认功能;
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)
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// 前端的字段设定
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const (
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AiMessageTypeText string = "text"
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AiMessageTypeDoc string = "doc"
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AiMessageTypeToken string = "token"
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)
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@ -74,7 +74,7 @@ func (e *Encounters) Create(context *gin.Context) {
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go model.CreateEncounterAnimalLinkFactory("").Insert(encounter.Id, animals_id)
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// 3. ES speed // TODO 这里如何实现 不同 DB 之间的 “事务” 概念。
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if level := int(context.GetFloat64(consts.ValidatorPrefix + "level")); level > 1 {
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if level := int(context.GetFloat64(consts.ValidatorPrefix + "level")); level > 0 { // TEST 暂时全部数据都同步到 ES,不做 level 过滤。
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go model_es.CreateEncounterESFactory(&encounter).InsertDocument()
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}
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@ -71,6 +71,11 @@ func (r *Rag) ChatSSE(context *gin.Context) {
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query := context.Query("query")
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token := context.Query("token")
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mode := context.Query("mode")
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if mode == "" {
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mode = consts.RagChatModeKnowledge
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}
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// 0-1. 测试 python
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if !micro_service.TestLinkPythonService() {
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code := errcode.ErrPythonService
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@ -98,7 +103,7 @@ func (r *Rag) ChatSSE(context *gin.Context) {
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}
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// 2. ES TopK
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docs, err := model_es.CreateDocESFactory().TopK(embedding, 1)
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docs, err := model_es.CreateDocESFactory().TopK(embedding, 2)
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if err != nil || len(docs) == 0 {
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variable.ZapLog.Error("ES TopK error", zap.Error(err))
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@ -112,7 +117,7 @@ func (r *Rag) ChatSSE(context *gin.Context) {
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// 3. LLM answer
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go func() {
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err := nlp.ChatRAG(docs[0].Content, query, ch, client)
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err := nlp.ChatRAG(docs[0].Content, query, mode, ch, client)
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if err != nil {
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variable.ZapLog.Error("ChatKnoledgeRAG error", zap.Error(err))
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}
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@ -199,7 +204,7 @@ func (r *Rag) ChatWebSocket(context *gin.Context) {
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}
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// 2. ES TopK // INFO 这里需要特化选取不同知识库的文档;目前是依靠显式的路由。
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docs, err := curd.CreateDocCurdFactory().TopK(embedding, 1)
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docs, err := curd.TopK(mode, embedding, 1)
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if err != nil || len(docs) == 0 {
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variable.ZapLog.Error("ES TopK error", zap.Error(err))
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@ -214,14 +219,14 @@ func (r *Rag) ChatWebSocket(context *gin.Context) {
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// STAGE websocket 的 defer 关闭函数,但是需要 ES 拿到的 doc—id
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defer func() { // UPDATE 临时"持久化"方案,之后考虑结合 jwt 维护的 token 处理。
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// 0. 传递参考资料的信息
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docMsg := model.CreateNlpWebSocketResult(docs[0].Type, docs)
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docMsg := model.CreateNlpWebSocketResult(consts.AiMessageTypeDoc, docs) // TIP 断言
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err := ws.WriteMessage(websocket.TextMessage, docMsg.JsonMarshal())
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if err != nil {
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variable.ZapLog.Error("Failed to send doc message via WebSocket", zap.Error(err))
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}
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// 1. 传递 token 信息; // UPDATE 临时方案
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tokenMsg := model.CreateNlpWebSocketResult("token", token)
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tokenMsg := model.CreateNlpWebSocketResult(consts.AiMessageTypeToken, token)
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err = ws.WriteMessage(websocket.TextMessage, tokenMsg.JsonMarshal())
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if err != nil {
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variable.ZapLog.Error("Failed to send token message via WebSocket", zap.Error(err))
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@ -234,7 +239,7 @@ func (r *Rag) ChatWebSocket(context *gin.Context) {
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ch := make(chan string) // TIP 建立通道。
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go func() {
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err := nlp.ChatRAG(docs[0].Content, query, mode, ch, clientInfo.Client)
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err := nlp.ChatRAG(docs[0].ToString(), query, mode, ch, clientInfo.Client) // TIP 接口
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if err != nil {
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variable.ZapLog.Error("ChatKnoledgeRAG error", zap.Error(err))
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}
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@ -1,10 +1,13 @@
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package model
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import "encoding/json"
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import (
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"catface/app/global/consts"
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"encoding/json"
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)
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func CreateNlpWebSocketResult(t string, data any) *NlpWebSocketResult {
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if t == "" {
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t = "chat"
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t = consts.AiMessageTypeText
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}
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return &NlpWebSocketResult{
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@ -142,32 +142,32 @@ func (e *Encounter) UpdateDocument(client *elasticsearch.Client, encounter *Enco
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*/
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func (e *Encounter) QueryDocumentsMatchAll(query string, num int) ([]Encounter, error) {
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body := fmt.Sprintf(`{
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"size": %d,
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"query": {
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"bool": {
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"should": [
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{"match": {"tags": "%s"}},
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{"match": {"content": "%s"}},
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{"match": {"title": "%s"}}
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]
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}
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},
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"highlight": {
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"pre_tags": ["%v"],
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"post_tags": ["%v"],
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"fields": {
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"title": {},
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"content": {
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"fragment_size" : 15
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},
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"tags": {
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"pre_tags": [""],
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"post_tags": [""]
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}
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}
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},
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"_source": ["id", "title", "content", "tags"]
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}`, num, query, query, query, consts.PreTags, consts.PostTags)
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"size": %d,
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"query": {
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"bool": {
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"should": [
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{"match": {"tags": "%s"}},
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{"match": {"content": "%s"}},
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{"match": {"title": "%s"}}
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]
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}
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},
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"highlight": {
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"pre_tags": ["%v"],
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"post_tags": ["%v"],
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"fields": {
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"title": {},
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"content": {
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"fragment_size" : 15
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},
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"tags": {
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"pre_tags": [""],
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"post_tags": [""]
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}
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}
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},
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"_source": ["id", "title", "content", "tags"]
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}`, num, query, query, query, consts.PreTags, consts.PostTags)
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hits, err := model_handler.SearchRequest(body, e.IndexName())
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if err != nil {
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@ -188,3 +188,46 @@ func (e *Encounter) QueryDocumentsMatchAll(query string, num int) ([]Encounter,
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return encounters, nil
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}
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func (e *Encounter) TopK(embedding []float64, k int) ([]Encounter, error) {
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// 同理 Doc
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params := map[string]interface{}{
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"query_vector": embedding,
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}
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paramsJSON, err := json.Marshal(params)
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if err != nil {
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return nil, err
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}
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body := fmt.Sprintf(`{
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"size": %d,
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"query": {
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"script_score": {
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"query": {"match_all": {}},
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"script": {
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"source": "cosineSimilarity(params.query_vector, 'embedding') + 1.0",
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"params": %s
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}
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}
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},
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"_source":["id"]
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}`, k, string(paramsJSON))
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hits, err := model_handler.SearchRequest(body, e.IndexName())
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if err != nil {
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return nil, err
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}
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var encounters []Encounter
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for _, hit := range hits {
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hitMap := hit.(map[string]interface{})
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source := hitMap["_source"].(map[string]interface{})
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var encounter Encounter
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if err := data_bind.ShouldBindFormMapToModel(source, &encounter); err != nil {
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continue
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}
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encounters = append(encounters, encounter)
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}
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return encounters, nil
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}
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13
app/model_res/base_model.go
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13
app/model_res/base_model.go
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@ -0,0 +1,13 @@
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package model_res
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type DocInterface interface {
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ToString() string
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}
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type DocBase struct {
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Type string `json:"type"`
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}
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func (d DocBase) ToString() string {
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return ""
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}
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@ -6,10 +6,10 @@ import (
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"time"
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)
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// BUG 存在 依賴循環
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// INFO 由于直接放到 model 中会导致循环引用,所以放到 model_res 中
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func NewDocResult(doc *model.Doc, doc_es *model_es.Doc) *DocResult {
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return &DocResult{
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Type: "doc",
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DocBase: DocBase{Type: "doc"},
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Id: doc.Id,
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Name: doc.Name,
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Content: doc_es.Content,
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@ -18,9 +18,22 @@ func NewDocResult(doc *model.Doc, doc_es *model_es.Doc) *DocResult {
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}
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type DocResult struct {
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Type string `json:"type"`
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DocBase
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Id int64 `json:"id"`
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Name string `json:"name"`
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Content string `json:"content"`
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UpdatedAt *time.Time `json:"updated_at"`
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}
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// GetType implements DocInterface.
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func (d DocResult) GetType() string {
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panic("unimplemented")
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}
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/**
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* @description: 实现 DocInterface 接口,输出作为 LLM 的参考内容。
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* @return {*}
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*/
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func (d DocResult) ToString() string {
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return d.Content
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}
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29
app/model_res/encounter.go
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29
app/model_res/encounter.go
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@ -0,0 +1,29 @@
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package model_res
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import (
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"catface/app/model"
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"catface/app/model_es"
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"fmt"
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"time"
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)
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func NewEncounterResult(encounter *model.Encounter, encounter_es *model_es.Encounter) *EncounterResult {
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return &EncounterResult{
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DocBase: DocBase{Type: "encounter"},
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Id: encounter.Id,
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Title: encounter.Title,
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Content: encounter.Content,
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UpdatedAt: encounter.UpdatedAt}
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}
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type EncounterResult struct {
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DocBase
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Id int64 `json:"id"`
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Title string `json:"title"`
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Content string `json:"content"`
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UpdatedAt *time.Time `json:"updated_at"`
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}
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func (e EncounterResult) ToString() string {
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return fmt.Sprintf(`路遇笔记标题:%s;路遇笔记内容:%s;`, e.Title, e.Content)
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}
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37
app/service/rag/curd/base_curd.go
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37
app/service/rag/curd/base_curd.go
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@ -0,0 +1,37 @@
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package curd
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import (
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"catface/app/global/consts"
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"catface/app/model_res"
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"fmt"
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)
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func TopK(mode string, embedding []float64, k int) (temp []model_res.DocInterface, err error) {
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switch mode {
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case consts.RagChatModeKnowledge:
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results, err := CreateDocCurdFactory().TopK(embedding, k)
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if err != nil {
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return nil, fmt.Errorf("TopK: 获取知识库TopK失败: %w", err)
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}
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for _, result := range results {
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temp = append(temp, result)
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}
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case consts.RagChatModeDiary:
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results, err := CreateEncounterCurdFactory().TopK(embedding, k)
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if err != nil {
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return nil, fmt.Errorf("TopK: 获取路遇笔记TopK失败: %w", err)
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}
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for _, result := range results {
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temp = append(temp, result)
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}
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default:
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if mode == "" {
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err = fmt.Errorf("TopK: mode不能为空")
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} else {
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err = fmt.Errorf("TopK: 不支持的mode: %s", mode)
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}
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}
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return temp, err
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}
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app/service/rag/curd/encounter_curd.go
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42
app/service/rag/curd/encounter_curd.go
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@ -0,0 +1,42 @@
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package curd
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import (
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"catface/app/model"
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"catface/app/model_es"
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"catface/app/model_res"
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)
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func CreateEncounterCurdFactory() *EncounterCurd {
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return &EncounterCurd{
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enc: model.CreateEncounterFactory(""),
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enc_es: model_es.CreateEncounterESFactory(nil),
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}
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}
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type EncounterCurd struct {
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enc *model.Encounter
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enc_es *model_es.Encounter
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}
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func (e *EncounterCurd) TopK(embedding []float64, k int) (temp []model_res.EncounterResult, err error) {
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// ES: TopK
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encounters_es, err := e.enc_es.TopK(embedding, k)
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if err != nil {
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return
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}
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// MySQL 补充信息
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var ids []int64
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for _, encounter := range encounters_es {
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ids = append(ids, encounter.Id)
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}
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encounters := e.enc.ShowByIDs(ids, "id", "title", "content", "updated_at")
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for _, encounter := range encounters {
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for _, encounter_es := range encounters_es {
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if encounter.Id == encounter_es.Id {
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temp = append(temp, *model_res.NewEncounterResult(&encounter, &encounter_es))
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}
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}
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}
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return
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}
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@ -22,4 +22,11 @@ Prompt:
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···
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{context}
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···
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如果给定的知识库无法让你做出回答,请回答知识库中未找到符合的资料,我不知道。"
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如果给定的知识库无法让你做出回答,请回答知识库中未找到符合的资料,我不知道。"
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Diary: "使用以知识库中找到的猫猫路遇日记来回答用户的问题,如果无法回答,请回答知识库中未找到符合的资料,我不知道。
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问题: {question}
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可参考的路遇日记:
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···
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{context}
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···
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如果给定的知识库无法让你做出回答,请回答知识库中未找到符合的资料,我不知道。"
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