feat(backfill): implement backfill tool for generating missing embeddings

internal/tools/search.go

@@ -4,6 +4,7 @@ import (
 	"context"
 	"strings"
 
+	"github.com/google/uuid"
 	"github.com/modelcontextprotocol/go-sdk/mcp"
 
 	"git.warky.dev/wdevs/amcs/internal/ai"
@@ -44,24 +45,18 @@ func (t *SearchTool) Handle(ctx context.Context, req *mcp.CallToolRequest, in Se
 	limit := normalizeLimit(in.Limit, t.search)
 	threshold := normalizeThreshold(in.Threshold, t.search.DefaultThreshold)
 
-	embedding, err := t.provider.Embed(ctx, query)
-	if err != nil {
-		return nil, SearchOutput{}, err
-	}
-
 	project, err := resolveProject(ctx, t.store, t.sessions, req, in.Project, false)
 	if err != nil {
 		return nil, SearchOutput{}, err
 	}
 
-	model := t.provider.EmbeddingModel()
-	var results []thoughttypes.SearchResult
+	var projectID *uuid.UUID
 	if project != nil {
-		results, err = t.store.SearchSimilarThoughts(ctx, embedding, model, threshold, limit, &project.ID, nil)
+		projectID = &project.ID
 		_ = t.store.TouchProject(ctx, project.ID)
-	} else {
-		results, err = t.store.SearchThoughts(ctx, embedding, model, threshold, limit, map[string]any{})
 	}
+
+	results, err := semanticSearch(ctx, t.store, t.provider, t.search, query, limit, threshold, projectID, nil)
 	if err != nil {
 		return nil, SearchOutput{}, err
 	}