Files
Agent-System-Backend/internal/rag/embed.go
T
weichen 4fdbfbc9a2 Add the vector RAG pipeline: paragraph chunker
Details (original message):
Add the vector RAG pipeline: paragraph chunker, OpenAI-compatible embeddings and rerank clients, dual-tier vector store with cosine search, and RRF hybrid retrieval
2026-09-30 02:39:50 +00:00

181 lines
4.9 KiB
Go
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package rag
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"time"
core "agent-system-core"
)
// Route 解析一次模型路由(设置层;组合根/管线调用方负责取有效设置)。
type Route struct {
Base string
Key string
Model string
}
// OK 表示该 kind 已配置可用。
func (r Route) OK() bool { return r.Base != "" && r.Model != "" }
// HTTPEmbedder 是 OpenAI 兼容 /embeddings 客户端(core.EmbeddingProvider)。
// resolve 每次调用解析当前路由(设置可热更)。
type HTTPEmbedder struct {
resolve func(ctx context.Context) Route
client *http.Client
}
func NewHTTPEmbedder(resolve func(ctx context.Context) Route) *HTTPEmbedder {
return &HTTPEmbedder{resolve: resolve, client: &http.Client{Timeout: 60 * time.Second}}
}
type embeddingsRequest struct {
Model string `json:"model"`
Input []string `json:"input"`
}
type embeddingsResponse struct {
Data []struct {
Index int `json:"index"`
Embedding []float32 `json:"embedding"`
} `json:"data"`
Error *struct {
Message string `json:"message"`
} `json:"error,omitempty"`
}
func (e *HTTPEmbedder) Embed(ctx context.Context, texts []string) ([][]float32, error) {
if len(texts) == 0 {
return nil, nil
}
route := e.resolve(ctx)
if !route.OK() {
return nil, fmt.Errorf("rag: embedding 模型未配置(settings.models.embedding)")
}
body, err := json.Marshal(embeddingsRequest{Model: route.Model, Input: texts})
if err != nil {
return nil, err
}
req, err := http.NewRequestWithContext(ctx, http.MethodPost, route.Base+"/embeddings", bytes.NewReader(body))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/json")
if route.Key != "" {
req.Header.Set("Authorization", "Bearer "+route.Key)
}
resp, err := e.client.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
raw, _ := io.ReadAll(io.LimitReader(resp.Body, 32<<20))
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("rag: embeddings %d: %s", resp.StatusCode, truncateStr(string(raw), 200))
}
var out embeddingsResponse
if err := json.Unmarshal(raw, &out); err != nil {
return nil, err
}
if out.Error != nil {
return nil, fmt.Errorf("rag: embeddings: %s", out.Error.Message)
}
if len(out.Data) != len(texts) {
return nil, fmt.Errorf("rag: embeddings 返回 %d 条(期望 %d)", len(out.Data), len(texts))
}
vecs := make([][]float32, len(texts))
for _, d := range out.Data {
if d.Index < 0 || d.Index >= len(vecs) {
return nil, fmt.Errorf("rag: embeddings index 越界 %d", d.Index)
}
vecs[d.Index] = d.Embedding
}
return vecs, nil
}
// HTTPReranker 是通用 /rerank 客户端(Cohere/Jina 兼容形状;core.Reranker)。
type HTTPReranker struct {
resolve func(ctx context.Context) Route
client *http.Client
}
func NewHTTPReranker(resolve func(ctx context.Context) Route) *HTTPReranker {
return &HTTPReranker{resolve: resolve, client: &http.Client{Timeout: 30 * time.Second}}
}
type rerankRequest struct {
Model string `json:"model"`
Query string `json:"query"`
Documents []struct {
Text string `json:"text"`
} `json:"documents"`
TopN int `json:"top_n"`
}
type rerankResponse struct {
Results []struct {
Index int `json:"index"`
Relevance float64 `json:"relevance_score"`
} `json:"results"`
}
func (r *HTTPReranker) Rerank(ctx context.Context, query string, docs []core.KnowledgeDoc, topK int) ([]core.KnowledgeDoc, error) {
route := r.resolve(ctx)
if !route.OK() || len(docs) == 0 {
return docs, nil // 未配置 = 显式跳过(排序退化为混合分)
}
reqBody := rerankRequest{Model: route.Model, Query: query, TopN: topK}
for _, d := range docs {
reqBody.Documents = append(reqBody.Documents, struct {
Text string `json:"text"`
}{Text: d.Chunk})
}
body, err := json.Marshal(reqBody)
if err != nil {
return docs, err
}
req, err := http.NewRequestWithContext(ctx, http.MethodPost, route.Base+"/rerank", bytes.NewReader(body))
if err != nil {
return docs, err
}
req.Header.Set("Content-Type", "application/json")
if route.Key != "" {
req.Header.Set("Authorization", "Bearer "+route.Key)
}
resp, err := r.client.Do(req)
if err != nil {
return docs, err // rerank 失败不阻断检索:返回原序
}
defer resp.Body.Close()
raw, _ := io.ReadAll(io.LimitReader(resp.Body, 8<<20))
if resp.StatusCode != http.StatusOK {
return docs, fmt.Errorf("rag: rerank %d: %s", resp.StatusCode, truncateStr(string(raw), 200))
}
var out rerankResponse
if err := json.Unmarshal(raw, &out); err != nil {
return docs, err
}
sorted := make([]core.KnowledgeDoc, 0, len(out.Results))
for _, res := range out.Results {
if res.Index >= 0 && res.Index < len(docs) {
sorted = append(sorted, docs[res.Index])
}
}
if len(sorted) == 0 {
return docs, nil
}
return sorted, nil
}
func truncateStr(s string, n int) string {
r := []rune(s)
if len(r) <= n {
return s
}
return string(r[:n]) + "…"
}