feat: RAG 核心链 — embedding(provider) + Milvus 真连 + 入库/检索

mcp-go 接通向量 RAG：embedding(OpenAI 兼容 provider 抽象) + Milvus 真实连接，
kb_ingest 入库、wiki_search 真检索。retriever 节点一行不改即从桩变真。

- mcp-go internal/rag: embed.go(OpenAI 兼容 /embeddings 客户端) + milvus.go(milvus-sdk-go
  真连，集合按首次 embedding 维度懒建+AUTOINDEX/COSINE索引+加载，insert/向量search) +
  rag.go(Engine: 切块→embed→insert / embed query→search；embedding 或 Milvus 缺则降级)
- mcp-go gateway: 新工具 kb_ingest，wiki_search 换真(RAG 向量检索，kb 过滤 topK)
- mcp-go main: rag.Open 读 MILVUS_ADDR/EMBED_BASE_URL/EMBED_API_KEY/EMBED_MODEL 环境变量
- gateway: POST /api/v1/kb/ingest → kb_ingest（供知识库页/脚本）
- scripts/mock_embeddings.py: 确定性词法向量(字+bigram 哈希)，无真 key 验证检索
- 开发期 embedding 接在线 API(无真 key 用 mock)，见 llm-provider-strategy
- 验证: 全模块 build✓ + e2e PASS; live——入库5条→Milvus；retriever 节点查'向量数据库'
  →召回 Milvus 那条→DeepSeek 答'Milvus'；查'知识图谱'→Neo4j（向量检索区分正确）

注: 当前向量单路；Bleve/Neo4j 融合 + rerank + 真实语义 embedding 为后续。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

go.work.sum

@@ -45,69 +45,35 @@ github.com/blevesearch/zapx/v15 v15.3.13 h1:6EkfaZiPlAxqXz0neniq35my6S48QI94W/wy
 github.com/blevesearch/zapx/v15 v15.3.13/go.mod h1:Turk/TNRKj9es7ZpKK95PS7f6D44Y7fAFy8F4LXQtGg=
 github.com/blevesearch/zapx/v16 v16.1.5 h1:b0sMcarqNFxuXvjoXsF8WtwVahnxyhEvBSRJi/AUHjU=
 github.com/blevesearch/zapx/v16 v16.1.5/go.mod h1:J4mSF39w1QELc11EWRSBFkPeZuO7r/NPKkHzDCoiaI8=
-github.com/bytedance/gopkg v0.1.3/go.mod h1:576VvJ+eJgyCzdjS+c4+77QF3p7ubbtiKARP3TxducM=
 github.com/bytedance/sonic v1.12.2/go.mod h1:B8Gt/XvtZ3Fqj+iSKMypzymZxw/FVwgIGKzMzT9r/rk=
-github.com/bytedance/sonic v1.15.0/go.mod h1:tFkWrPz0/CUCLEF4ri4UkHekCIcdnkqXw9VduqpJh0k=
 github.com/bytedance/sonic/loader v0.2.0/go.mod h1:ncP89zfokxS5LZrJxl5z0UJcsk4M4yY2JpfqGeCtNLU=
 github.com/bytedance/sonic/loader v0.3.0/go.mod h1:N8A3vUdtUebEY2/VQC0MyhYeKUFosQU6FxH2JmUe6VI=
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-github.com/cockroachdb/logtags v0.0.0-20211118104740-dabe8e521a4f/go.mod h1:Vz9DsVWQQhf3vs21MhPMZpMGSht7O/2vFW2xusFUVOs=
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-github.com/rogpeppe/go-internal v1.8.1/go.mod h1:JeRgkft04UBgHMgCIwADu4Pn6Mtm5d4nPKWu0nJ5d+o=
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 github.com/spf13/pflag v1.0.5/go.mod h1:McXfInJRrz4CZXVZOBLb0bTZqETkiAhM9Iw0y3An2Bg=
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-github.com/stretchr/testify v1.10.0/go.mod h1:r2ic/lqez/lEtzL7wO/rwa5dbSLXVDPFyf8C91i36aY=
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-github.com/tidwall/gjson v1.14.4 h1:uo0p8EbA09J7RQaflQ1aBRffTR7xedD2bcIVSYxLnkM=
-github.com/tidwall/gjson v1.14.4/go.mod h1:/wbyibRr2FHMks5tjHJ5F8dMZh3AcwJEMf5vlfC0lxk=
-github.com/tidwall/match v1.1.1 h1:+Ho715JplO36QYgwN9PGYNhgZvoUSc9X2c80KVTi+GA=
-github.com/tidwall/match v1.1.1/go.mod h1:eRSPERbgtNPcGhD8UCthc6PmLEQXEWd3PRB5JTxsfmM=
-github.com/tidwall/pretty v1.2.0 h1:RWIZEg2iJ8/g6fDDYzMpobmaoGh5OLl4AXtGUGPcqCs=
-github.com/tidwall/pretty v1.2.0/go.mod h1:ITEVvHYasfjBbM0u2Pg8T2nJnzm8xPwvNhhsoaGGjNU=
 github.com/x448/float16 v0.8.4 h1:qLwI1I70+NjRFUR3zs1JPUCgaCXSh3SW62uAKT1mSBM=
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 github.com/yuin/goldmark v1.4.13 h1:fVcFKWvrslecOb/tg+Cc05dkeYx540o0FuFt3nUVDoE=
@@ -116,11 +82,9 @@ go.etcd.io/bbolt v1.3.7 h1:j+zJOnnEjF/kyHlDDgGnVL/AIqIJPq8UoB2GSNfkUfQ=
 go.etcd.io/bbolt v1.3.7/go.mod h1:N9Mkw9X8x5fupy0IKsmuqVtoGDyxsaDlbk4Rd05IAQw=
 go.uber.org/automaxprocs v1.5.3 h1:kWazyxZUrS3Gs4qUpbwo5kEIMGe/DAvi5Z4tl2NW4j8=
 go.uber.org/automaxprocs v1.5.3/go.mod h1:eRbA25aqJrxAbsLO0xy5jVwPt7FQnRgjW+efnwa1WM0=
-golang.org/x/arch v0.11.0/go.mod h1:FEVrYAQjsQXMVJ1nsMoVVXPZg6p2JE2mx8psSWTDQys=
 golang.org/x/crypto v0.23.0/go.mod h1:CKFgDieR+mRhux2Lsu27y0fO304Db0wZe70UKqHu0v8=
 golang.org/x/mod v0.17.0 h1:zY54UmvipHiNd+pm+m0x9KhZ9hl1/7QNMyxXbc6ICqA=
 golang.org/x/mod v0.17.0/go.mod h1:hTbmBsO62+eylJbnUtE2MGJUyE7QWk4xUqPFrRgJ+7c=
-golang.org/x/net v0.21.0/go.mod h1:bIjVDfnllIU7BJ2DNgfnXvpSvtn8VRwhlsaeUTyUS44=
 golang.org/x/sync v0.8.0 h1:3NFvSEYkUoMifnESzZl15y791HH1qU2xm6eCJU5ZPXQ=
 golang.org/x/sync v0.8.0/go.mod h1:Czt+wKu1gCyEFDUtn0jG5QVvpJ6rzVqr5aXyt9drQfk=
 golang.org/x/sys v0.20.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
@@ -132,16 +96,9 @@ golang.org/x/term v0.20.0/go.mod h1:8UkIAJTvZgivsXaD6/pH6U9ecQzZ45awqEOzuCvwpFY=
 golang.org/x/term v0.24.0 h1:Mh5cbb+Zk2hqqXNO7S1iTjEphVL+jb8ZWaqh/g+JWkM=
 golang.org/x/term v0.24.0/go.mod h1:lOBK/LVxemqiMij05LGJ0tzNr8xlmwBRJ81PX6wVLH8=
 golang.org/x/term v0.27.0/go.mod h1:iMsnZpn0cago0GOrHO2+Y7u7JPn5AylBrcoWkElMTSM=
-golang.org/x/term v0.28.0/go.mod h1:Sw/lC2IAUZ92udQNf3WodGtn4k/XoLyZoh8v/8uiwek=
 golang.org/x/text v0.15.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
 golang.org/x/tools v0.21.1-0.20240508182429-e35e4ccd0d2d h1:vU5i/LfpvrRCpgM/VPfJLg5KjxD3E+hfT1SH+d9zLwg=
 golang.org/x/tools v0.21.1-0.20240508182429-e35e4ccd0d2d/go.mod h1:aiJjzUbINMkxbQROHiO6hDPo2LHcIPhhQsa9DLh0yGk=
-google.golang.org/genproto v0.0.0-20220503193339-ba3ae3f07e29 h1:DJUvgAPiJWeMBiT+RzBVcJGQN7bAEWS5UEoMshES9xs=
-google.golang.org/genproto v0.0.0-20220503193339-ba3ae3f07e29/go.mod h1:RAyBrSAP7Fh3Nc84ghnVLDPuV51xc9agzmm4Ph6i0Q4=
-google.golang.org/grpc v1.48.0 h1:rQOsyJ/8+ufEDJd/Gdsz7HG220Mh9HAhFHRGnIjda0w=
-google.golang.org/grpc v1.48.0/go.mod h1:vN9eftEi1UMyUsIF80+uQXhHjbXYbm0uXoFCACuMGWk=
-google.golang.org/grpc/examples v0.0.0-20220617181431-3e7b97febc7f h1:rqzndB2lIQGivcXdTuY3Y9NBvr70X+y77woofSRluec=
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scripts/mock_embeddings.py

@@ -0,0 +1,65 @@
+#!/usr/bin/env python3
+"""最小 OpenAI 兼容 embeddings mock —— 无真实 embedding key 时验证 RAG 链路。
+确定性"词法向量"：把文本的字 + 字bigram 哈希进固定维向量并归一化，
+词面重叠越多余弦越高（足以演示"查询召回相关文档"）。真实语义需插真实 embedding API。
+  GET  /models       → 200
+  POST /embeddings   → {data:[{embedding:[...]}]}
+用法: python3 scripts/mock_embeddings.py 11888
+"""
+import hashlib
+import json
+import math
+import sys
+from http.server import BaseHTTPRequestHandler, HTTPServer
+
+DIM = 256
+
+
+def embed(text: str):
+    vec = [0.0] * DIM
+    t = text.strip()
+    toks = list(t) + [t[i:i + 2] for i in range(len(t) - 1)]  # 字 + 字bigram
+    for tok in toks:
+        h = int(hashlib.md5(tok.encode("utf-8")).hexdigest(), 16)
+        vec[h % DIM] += 1.0
+    norm = math.sqrt(sum(x * x for x in vec)) or 1.0
+    return [x / norm for x in vec]
+
+
+class H(BaseHTTPRequestHandler):
+    def log_message(self, *a):
+        pass
+
+    def do_GET(self):
+        if self.path.endswith("/models"):
+            body = json.dumps({"object": "list", "data": [{"id": "mock-embed"}]}).encode()
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(body)))
+            self.end_headers()
+            self.wfile.write(body)
+        else:
+            self.send_response(404)
+            self.end_headers()
+
+    def do_POST(self):
+        n = int(self.headers.get("Content-Length", 0))
+        req = json.loads(self.rfile.read(n) or b"{}")
+        inp = req.get("input", [])
+        if isinstance(inp, str):
+            inp = [inp]
+        data = [{"object": "embedding", "index": i, "embedding": embed(t)} for i, t in enumerate(inp)]
+        body = json.dumps({"object": "list", "data": data, "model": req.get("model", "mock-embed")}).encode()
+        sys.stderr.write(f"[mock-embed] /embeddings n={len(inp)} dim={DIM}\n")
+        sys.stderr.flush()
+        self.send_response(200)
+        self.send_header("Content-Type", "application/json")
+        self.send_header("Content-Length", str(len(body)))
+        self.end_headers()
+        self.wfile.write(body)
+
+
+if __name__ == "__main__":
+    port = int(sys.argv[1]) if len(sys.argv) > 1 else 11888
+    print(f"[mock-embed] listening on :{port} (dim={DIM})")
+    HTTPServer(("127.0.0.1", port), H).serve_forever()

sundynix-gateway/internal/handler/kb.go

@@ -0,0 +1,33 @@
+package handler
+
+import (
+	"net/http"
+
+	"github.com/gin-gonic/gin"
+
+	"github.com/sundynix/sundynix-shared/contract"
+)
+
+// KbIngest: POST /api/v1/kb/ingest —— 把文本入库到知识库（→ mcp-go kb_ingest → 切块/embedding/Milvus）。
+// 供知识库管理页/脚本调用。
+func (h *Handler) KbIngest(c *gin.Context) {
+	var body struct {
+		KB   string `json:"kb"`
+		Text string `json:"text"`
+	}
+	if err := c.ShouldBindJSON(&body); err != nil || body.Text == "" {
+		c.JSON(http.StatusBadRequest, gin.H{"error": "text required"})
+		return
+	}
+	res, err := h.bus.CallTool(c.Request.Context(), contract.ToolSubjectGo("kb_ingest"),
+		&contract.ToolCall{Tool: "kb_ingest", Args: map[string]any{"kb": body.KB, "text": body.Text}})
+	if err != nil {
+		c.JSON(http.StatusBadGateway, gin.H{"error": err.Error()})
+		return
+	}
+	if !res.OK {
+		c.JSON(http.StatusUnprocessableEntity, gin.H{"error": res.Error})
+		return
+	}
+	c.JSON(http.StatusOK, gin.H{"status": "ok", "message": res.Content})
+}

sundynix-gateway/internal/router/router.go

@@ -23,6 +23,7 @@ func New(db *store.Postgres, cache *store.Redis, bus *nats.Bus) *gin.Engine {
 		api.POST("/tasks", h.SubmitTask)           // 1. 解析 DSL 并 Publish 到 NATS
 		api.GET("/tasks/:id/stream", h.StreamTask) // 4. SSE/WS 回流 Token Stream
 		api.PUT("/memory", h.SetMemory)            // 偏好记忆登记（→ mcp-go memory_upsert）
+		api.POST("/kb/ingest", h.KbIngest)         // 知识库入库（→ mcp-go kb_ingest，RAG）
 		api.GET("/billing", h.Billing)
 
 		// 运维控制面：LLM 模型配置（独立运维控制台调用）。

sundynix-mcp-go/cmd/server/main.go

@@ -13,6 +13,7 @@ import (
 	"github.com/sundynix/sundynix-mcp-go/internal/history"
 	"github.com/sundynix/sundynix-mcp-go/internal/mcp"
 	"github.com/sundynix/sundynix-mcp-go/internal/memory"
+	"github.com/sundynix/sundynix-mcp-go/internal/rag"
 	"github.com/sundynix/sundynix-mcp-go/internal/search"
 )
 
@@ -20,6 +21,10 @@ func main() {
 	natsURL := envOr("NATS_URL", "nats://localhost:4222")
 	pgDSN := envOr("POSTGRES_DSN", "postgres://sundynix:sundynix@localhost:5432/sundynix?sslmode=disable")
 	redisAddr := envOr("REDIS_ADDR", "localhost:6379")
+	milvusAddr := envOr("MILVUS_ADDR", "localhost:19530")
+	embBase := envOr("EMBED_BASE_URL", "") // OpenAI 兼容 embeddings 端点（空=向量检索降级）
+	embKey := envOr("EMBED_API_KEY", "")
+	embModel := envOr("EMBED_MODEL", "")
 
 	b, err := sharedbus.Connect(natsURL)
 	if err != nil {
@@ -33,11 +38,14 @@ func main() {
 	defer mem.Close()
 	hist := history.Open(redisAddr) // 会话短期历史：Redis（连不上则降级）
 	defer hist.Close()
-	gw := mcp.NewGateway(b, engine, mem, hist)
 
 	ctx, stop := signal.NotifyContext(context.Background(), syscall.SIGINT, syscall.SIGTERM)
 	defer stop()
 
+	ragEngine := rag.Open(ctx, milvusAddr, embBase, embKey, embModel) // RAG 核心链：embedding + Milvus
+	defer ragEngine.Close()
+	gw := mcp.NewGateway(b, engine, mem, hist, ragEngine)
+
 	log.Println("[mcp_go] serving MCP over sundynix.tools.go.* (Ctrl-C to quit)")
 	if err := gw.Serve(ctx); err != nil && err != context.Canceled {
 		log.Fatalf("[mcp_go] exit: %v", err)

sundynix-mcp-go/go.mod

@@ -3,6 +3,7 @@ module github.com/sundynix/sundynix-mcp-go
 go 1.24
 
 require (
+	github.com/milvus-io/milvus-sdk-go/v2 v2.4.1
 	github.com/redis/go-redis/v9 v9.20.0
 	github.com/sundynix/sundynix-shared v0.0.0
 	gorm.io/driver/postgres v1.6.0
@@ -11,6 +12,13 @@ require (
 
 require (
 	github.com/cespare/xxhash/v2 v2.3.0 // indirect
+	github.com/cockroachdb/errors v1.9.1 // indirect
+	github.com/cockroachdb/logtags v0.0.0-20211118104740-dabe8e521a4f // indirect
+	github.com/cockroachdb/redact v1.1.3 // indirect
+	github.com/getsentry/sentry-go v0.12.0 // indirect
+	github.com/gogo/protobuf v1.3.2 // indirect
+	github.com/golang/protobuf v1.5.2 // indirect
+	github.com/grpc-ecosystem/go-grpc-middleware v1.3.0 // indirect
 	github.com/jackc/pgpassfile v1.0.0 // indirect
 	github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 // indirect
 	github.com/jackc/pgx/v5 v5.6.0 // indirect
@@ -18,14 +26,26 @@ require (
 	github.com/jinzhu/inflection v1.0.0 // indirect
 	github.com/jinzhu/now v1.1.5 // indirect
 	github.com/klauspost/compress v1.17.9 // indirect
+	github.com/kr/pretty v0.3.0 // indirect
+	github.com/kr/text v0.2.0 // indirect
+	github.com/milvus-io/milvus-proto/go-api/v2 v2.4.3 // indirect
 	github.com/nats-io/nats.go v1.37.0 // indirect
 	github.com/nats-io/nkeys v0.4.7 // indirect
 	github.com/nats-io/nuid v1.0.1 // indirect
+	github.com/pkg/errors v0.9.1 // indirect
+	github.com/rogpeppe/go-internal v1.8.1 // indirect
+	github.com/tidwall/gjson v1.14.4 // indirect
+	github.com/tidwall/match v1.1.1 // indirect
+	github.com/tidwall/pretty v1.2.0 // indirect
 	go.uber.org/atomic v1.11.0 // indirect
 	golang.org/x/crypto v0.31.0 // indirect
+	golang.org/x/net v0.21.0 // indirect
 	golang.org/x/sync v0.10.0 // indirect
 	golang.org/x/sys v0.30.0 // indirect
 	golang.org/x/text v0.21.0 // indirect
+	google.golang.org/genproto v0.0.0-20220503193339-ba3ae3f07e29 // indirect
+	google.golang.org/grpc v1.48.0 // indirect
+	google.golang.org/protobuf v1.30.0 // indirect
 )
 
 replace github.com/sundynix/sundynix-shared => ../sundynix-shared

sundynix-mcp-go/go.sum

@@ -1,12 +1,131 @@
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 github.com/bsm/ginkgo/v2 v2.12.0/go.mod h1:SwYbGRRDovPVboqFv0tPTcG1sN61LM1Z4ARdbAV9g4c=
 github.com/bsm/gomega v1.27.10 h1:yeMWxP2pV2fG3FgAODIY8EiRE3dy0aeFYt4l7wh6yKA=
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sundynix-mcp-go/internal/mcp/gateway.go

@@ -6,12 +6,14 @@ import (
 	"encoding/json"
 	"fmt"
 	"log"
+	"strings"
 
 	sharedbus "github.com/sundynix/sundynix-shared/bus"
 	"github.com/sundynix/sundynix-shared/contract"
 
 	"github.com/sundynix/sundynix-mcp-go/internal/history"
 	"github.com/sundynix/sundynix-mcp-go/internal/memory"
+	"github.com/sundynix/sundynix-mcp-go/internal/rag"
 	"github.com/sundynix/sundynix-mcp-go/internal/search"
 )
 
@@ -21,10 +23,11 @@ type Gateway struct {
 	search  *search.Hybrid
 	memory  *memory.Store
 	history *history.Store
+	rag     *rag.Engine
 }
 
-func NewGateway(b *sharedbus.Bus, s *search.Hybrid, m *memory.Store, h *history.Store) *Gateway {
+func NewGateway(b *sharedbus.Bus, s *search.Hybrid, m *memory.Store, h *history.Store, r *rag.Engine) *Gateway {
-	return &Gateway{bus: b, search: s, memory: m, history: h}
+	return &Gateway{bus: b, search: s, memory: m, history: h, rag: r}
 }
 
 // Serve 以队列组通配订阅 sundynix.tools.go.>，按工具名分发并阻塞。
@@ -34,7 +37,7 @@ func (g *Gateway) Serve(ctx context.Context) error {
 		return err
 	}
 	defer func() { _ = unsub() }()
-	log.Printf("[mcp_go] tools ready on %s (queue=%s): wiki_search, memory_get, memory_upsert, history_get, history_append, echo",
+	log.Printf("[mcp_go] tools ready on %s (queue=%s): wiki_search, kb_ingest, memory_get, memory_upsert, history_get, history_append, echo",
 		contract.SubjectToolsGoAll, contract.QueueToolsGo)
 	<-ctx.Done()
 	return ctx.Err()
@@ -46,6 +49,8 @@ func (g *Gateway) dispatch(ctx context.Context, call *contract.ToolCall) *contra
 	switch call.Tool {
 	case "wiki_search":
 		return g.wikiSearch(ctx, call)
+	case "kb_ingest":
+		return g.kbIngest(ctx, call)
 	case "memory_get":
 		return g.memoryGet(ctx, call)
 	case "memory_upsert":
@@ -110,24 +115,40 @@ func (g *Gateway) memoryUpsert(ctx context.Context, call *contract.ToolCall) *co
 	return &contract.ToolResult{OK: true, Content: fmt.Sprintf("已记住 %s 的「%s」", uid, key)}
 }
 
-// wikiSearch 调 Hybrid 混合检索引擎。引擎目前为桩（返回空），
+// wikiSearch 经 RAG 引擎做向量检索（embedding + Milvus）。
-// 这里仍把调用链路做真：真实接入 Bleve/Milvus/Neo4j 后无需改动协议。
+// RAG 未就绪时降级返回空命中（不阻断图执行）。
 func (g *Gateway) wikiSearch(ctx context.Context, call *contract.ToolCall) *contract.ToolResult {
 	q, _ := call.Args["q"].(string)
-	results, err := g.search.Query(ctx, q, 5)
+	kb, _ := call.Args["kb"].(string)
+	topK := 5
+	if v, ok := call.Args["topK"].(float64); ok && v > 0 {
+		topK = int(v)
+	}
+	if !g.rag.Ready() {
+		return &contract.ToolResult{OK: true, Content: "[wiki_search] RAG 未配置（需 embedding + Milvus），无召回"}
+	}
+	hits, err := g.rag.Search(ctx, kb, q, topK)
 	if err != nil {
 		return &contract.ToolResult{OK: false, Error: "wiki_search: " + err.Error()}
 	}
-	return &contract.ToolResult{
+	var b strings.Builder
-		OK:      true,
+	fmt.Fprintf(&b, "[wiki_search] 命中 %d 条（Milvus 向量检索）：\n", len(hits))
-		Content: fmt.Sprintf("[wiki_search] 命中 %d 条（Bleve+Milvus+Neo4j 混合检索桩）查询=%q", len(results), preview(q)),
+	for i, h := range hits {
+		fmt.Fprintf(&b, "%d. (%.3f) %s\n", i+1, h.Score, h.Text)
 	}
+	return &contract.ToolResult{OK: true, Content: strings.TrimRight(b.String(), "\n")}
 }
 
-func preview(s string) string {
+// kbIngest 把文本入库（切块→embedding→Milvus）。
-	r := []rune(s)
+func (g *Gateway) kbIngest(ctx context.Context, call *contract.ToolCall) *contract.ToolResult {
-	if len(r) > 40 {
+	kb, _ := call.Args["kb"].(string)
-		return string(r[:40]) + "…"
+	text, _ := call.Args["text"].(string)
+	if text == "" {
+		return &contract.ToolResult{OK: false, Error: "kb_ingest: text 必填"}
 	}
-	return s
+	n, err := g.rag.Ingest(ctx, kb, text)
+	if err != nil {
+		return &contract.ToolResult{OK: false, Error: "kb_ingest: " + err.Error()}
+	}
+	return &contract.ToolResult{OK: true, Content: fmt.Sprintf("已入库 %d 块到知识库 %q", n, kb)}
 }

sundynix-mcp-go/internal/rag/embed.go

@@ -0,0 +1,72 @@
+package rag
+
+import (
+	"bytes"
+	"context"
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"time"
+)
+
+// embedClient 是 OpenAI 兼容的 embeddings 客户端（provider 抽象）。
+// 开发期指向第三方在线 API 或本地 mock；生产期换自部署/在线 embedding 模型。
+type embedClient struct {
+	baseURL string
+	apiKey  string
+	model   string
+	hc      *http.Client
+}
+
+func newEmbedClient(baseURL, apiKey, model string) *embedClient {
+	return &embedClient{
+		baseURL: baseURL,
+		apiKey:  apiKey,
+		model:   model,
+		hc:      &http.Client{Timeout: 30 * time.Second},
+	}
+}
+
+func (e *embedClient) ready() bool { return e != nil && e.baseURL != "" && e.model != "" }
+
+// Embed 把若干文本向量化（OpenAI 兼容 /embeddings）。
+func (e *embedClient) Embed(ctx context.Context, texts []string) ([][]float32, error) {
+	if !e.ready() {
+		return nil, fmt.Errorf("embedding not configured")
+	}
+	body, _ := json.Marshal(map[string]any{"model": e.model, "input": texts})
+	req, err := http.NewRequestWithContext(ctx, http.MethodPost, e.baseURL+"/embeddings", bytes.NewReader(body))
+	if err != nil {
+		return nil, err
+	}
+	req.Header.Set("Content-Type", "application/json")
+	if e.apiKey != "" {
+		req.Header.Set("Authorization", "Bearer "+e.apiKey)
+	}
+	resp, err := e.hc.Do(req)
+	if err != nil {
+		return nil, fmt.Errorf("embed request: %w", err)
+	}
+	defer resp.Body.Close()
+	if resp.StatusCode >= 400 {
+		buf := new(bytes.Buffer)
+		_, _ = buf.ReadFrom(resp.Body)
+		return nil, fmt.Errorf("embed http %d: %s", resp.StatusCode, buf.String())
+	}
+	var out struct {
+		Data []struct {
+			Embedding []float32 `json:"embedding"`
+			Index     int       `json:"index"`
+		} `json:"data"`
+	}
+	if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
+		return nil, fmt.Errorf("embed decode: %w", err)
+	}
+	vecs := make([][]float32, len(out.Data))
+	for _, d := range out.Data {
+		if d.Index >= 0 && d.Index < len(vecs) {
+			vecs[d.Index] = d.Embedding
+		}
+	}
+	return vecs, nil
+}

sundynix-mcp-go/internal/rag/milvus.go

@@ -0,0 +1,133 @@
+package rag
+
+import (
+	"context"
+	"fmt"
+	"sync"
+
+	"github.com/milvus-io/milvus-sdk-go/v2/client"
+	"github.com/milvus-io/milvus-sdk-go/v2/entity"
+)
+
+const collection = "sundynix_wiki" // Wiki/知识库向量集合
+
+// milvusStore 封装 Milvus 连接与集合管理（集合按首次写入的向量维度懒建）。
+type milvusStore struct {
+	cli  client.Client
+	mu   sync.Mutex
+	dim  int  // 已建集合的维度（0=未建）
+	ok   bool // 集合是否就绪
+}
+
+func openMilvus(ctx context.Context, addr string) (*milvusStore, error) {
+	cli, err := client.NewClient(ctx, client.Config{Address: addr})
+	if err != nil {
+		return nil, err
+	}
+	return &milvusStore{cli: cli}, nil
+}
+
+func (m *milvusStore) close() {
+	if m != nil && m.cli != nil {
+		_ = m.cli.Close()
+	}
+}
+
+// ensure 幂等地按维度 dim 建集合 + 向量索引 + 加载（首次写入时调用）。
+func (m *milvusStore) ensure(ctx context.Context, dim int) error {
+	m.mu.Lock()
+	defer m.mu.Unlock()
+	if m.ok && m.dim == dim {
+		return nil
+	}
+	has, err := m.cli.HasCollection(ctx, collection)
+	if err != nil {
+		return err
+	}
+	if !has {
+		schema := entity.NewSchema().WithName(collection).WithDescription("sundynix wiki vectors").
+			WithField(entity.NewField().WithName("id").WithDataType(entity.FieldTypeInt64).WithIsPrimaryKey(true).WithIsAutoID(true)).
+			WithField(entity.NewField().WithName("kb").WithDataType(entity.FieldTypeVarChar).WithMaxLength(64)).
+			WithField(entity.NewField().WithName("text").WithDataType(entity.FieldTypeVarChar).WithMaxLength(8192)).
+			WithField(entity.NewField().WithName("vector").WithDataType(entity.FieldTypeFloatVector).WithDim(int64(dim)))
+		if err := m.cli.CreateCollection(ctx, schema, 1); err != nil {
+			return fmt.Errorf("create collection: %w", err)
+		}
+		idx, _ := entity.NewIndexAUTOINDEX(entity.COSINE)
+		if err := m.cli.CreateIndex(ctx, collection, "vector", idx, false); err != nil {
+			return fmt.Errorf("create index: %w", err)
+		}
+	}
+	if err := m.cli.LoadCollection(ctx, collection, false); err != nil {
+		return fmt.Errorf("load collection: %w", err)
+	}
+	m.dim, m.ok = dim, true
+	return nil
+}
+
+// insert 写入若干 (kb, text, vector)。
+func (m *milvusStore) insert(ctx context.Context, kb string, texts []string, vecs [][]float32) error {
+	if len(vecs) == 0 {
+		return nil
+	}
+	if err := m.ensure(ctx, len(vecs[0])); err != nil {
+		return err
+	}
+	kbs := make([]string, len(texts))
+	for i := range kbs {
+		kbs[i] = kb
+	}
+	_, err := m.cli.Insert(ctx, collection, "",
+		entity.NewColumnVarChar("kb", kbs),
+		entity.NewColumnVarChar("text", texts),
+		entity.NewColumnFloatVector("vector", len(vecs[0]), vecs),
+	)
+	if err != nil {
+		return fmt.Errorf("insert: %w", err)
+	}
+	return m.cli.Flush(ctx, collection, false)
+}
+
+// Hit 是一条检索结果。
+type Hit struct {
+	Text  string
+	Score float32
+}
+
+// search 用查询向量做 topK 向量检索（可按 kb 过滤）。
+func (m *milvusStore) search(ctx context.Context, kb string, qvec []float32, topK int) ([]Hit, error) {
+	if !m.ok {
+		// 集合未建（还没入过库）→ 尝试确保（按查询维度），无则空结果。
+		if err := m.ensure(ctx, len(qvec)); err != nil {
+			return nil, nil
+		}
+	}
+	expr := ""
+	if kb != "" {
+		expr = fmt.Sprintf("kb == \"%s\"", kb)
+	}
+	sp, _ := entity.NewIndexAUTOINDEXSearchParam(1)
+	results, err := m.cli.Search(ctx, collection, nil, expr, []string{"text"},
+		[]entity.Vector{entity.FloatVector(qvec)}, "vector", entity.COSINE, topK, sp)
+	if err != nil {
+		return nil, fmt.Errorf("search: %w", err)
+	}
+	var hits []Hit
+	for _, r := range results {
+		textCol := r.Fields.GetColumn("text")
+		for i := 0; i < r.ResultCount; i++ {
+			text := ""
+			if textCol != nil {
+				if s, err := textCol.GetAsString(i); err == nil {
+					text = s
+				}
+			}
+			var score float32
+			if i < len(r.Scores) {
+				score = r.Scores[i]
+			}
+			hits = append(hits, Hit{Text: text, Score: score})
+		}
+	}
+	return hits, nil
+}

sundynix-mcp-go/internal/rag/rag.go

@@ -0,0 +1,97 @@
+// Package rag 实现 RAG 核心链：embedding(provider 抽象) + Milvus 向量库 + 入库/检索。
+// 是 LLM Wiki 混合检索的向量路；Bleve/Neo4j 融合为后续扩展。
+package rag
+
+import (
+	"context"
+	"errors"
+	"log"
+	"strings"
+)
+
+// Engine 聚合 embedding 与 Milvus，对外提供入库/检索。
+type Engine struct {
+	emb *embedClient
+	mv  *milvusStore
+}
+
+// Open 建立 RAG 引擎。embedding 未配 / Milvus 连不上 → 降级（检索返回空，不阻断工具服务）。
+func Open(ctx context.Context, milvusAddr, embBase, embKey, embModel string) *Engine {
+	e := &Engine{}
+	if embBase != "" && embModel != "" {
+		e.emb = newEmbedClient(embBase, embKey, embModel)
+		log.Printf("[rag] embedding: %s model=%s", embBase, embModel)
+	} else {
+		log.Println("[rag] embedding 未配置，向量检索降级")
+	}
+	if milvusAddr != "" {
+		mv, err := openMilvus(ctx, milvusAddr)
+		if err != nil {
+			log.Printf("[rag] Milvus 不可用，向量检索降级: %v", err)
+		} else {
+			e.mv = mv
+			log.Printf("[rag] Milvus connected %s", milvusAddr)
+		}
+	}
+	return e
+}
+
+// Ready 报告 RAG 是否可用（embedding + Milvus 均就绪）。
+func (e *Engine) Ready() bool { return e.emb.ready() && e.mv != nil }
+
+// Ingest 把一段文本切块 → 向量化 → 写入 Milvus，返回块数。
+func (e *Engine) Ingest(ctx context.Context, kb, text string) (int, error) {
+	if !e.Ready() {
+		return 0, errors.New("rag 未配置（需 embedding + Milvus）")
+	}
+	chunks := chunk(text)
+	if len(chunks) == 0 {
+		return 0, nil
+	}
+	vecs, err := e.emb.Embed(ctx, chunks)
+	if err != nil {
+		return 0, err
+	}
+	if err := e.mv.insert(ctx, kb, chunks, vecs); err != nil {
+		return 0, err
+	}
+	return len(chunks), nil
+}
+
+// Search 向量化查询 → Milvus topK 检索。降级时返回空。
+func (e *Engine) Search(ctx context.Context, kb, query string, topK int) ([]Hit, error) {
+	if !e.Ready() {
+		return nil, nil
+	}
+	if topK <= 0 {
+		topK = 5
+	}
+	vecs, err := e.emb.Embed(ctx, []string{query})
+	if err != nil || len(vecs) == 0 {
+		return nil, err
+	}
+	return e.mv.search(ctx, kb, vecs[0], topK)
+}
+
+func (e *Engine) Close() {
+	if e.mv != nil {
+		e.mv.close()
+	}
+}
+
+// chunk 朴素切块：按行切，去空白；过长再按长度切。真实系统应做版面/语义切块。
+func chunk(text string) []string {
+	var out []string
+	for _, line := range strings.Split(text, "\n") {
+		s := strings.TrimSpace(line)
+		if s == "" {
+			continue
+		}
+		for len(s) > 2000 {
+			out = append(out, s[:2000])
+			s = s[2000:]
+		}
+		out = append(out, s)
+	}
+	return out
+}