semantic player search impl

package.json

@@ -39,6 +39,7 @@
     "@clerk/elements": "^0.23.32",
     "@clerk/nextjs": "^6.20.2",
     "@clerk/themes": "^2.2.49",
+    "@google/generative-ai": "^0.24.1",
     "@hookform/resolvers": "^5.0.1",
     "@mdx-js/loader": "^3.1.0",
     "@mdx-js/react": "^3.1.0",

prisma/migrations/20260117000000_add_vector_search/migration.sql

@@ -0,0 +1,21 @@
+-- CreateExtension
+CREATE EXTENSION IF NOT EXISTS vector;
+
+-- CreateTable
+CREATE TABLE player_embeddings (
+  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+  player_id UUID NOT NULL UNIQUE REFERENCES players(id) ON DELETE CASCADE,
+  embedding vector(768) NOT NULL,
+  embedding_text TEXT NOT NULL,
+  created_at TIMESTAMP(6) DEFAULT NOW(),
+  updated_at TIMESTAMP(6) DEFAULT NOW()
+);
+
+-- CreateIndex
+CREATE INDEX player_embeddings_player_id_idx ON player_embeddings(player_id);
+
+-- CreateIndex (IVFFlat index for fast similarity search)
+-- Note: For production, adjust the 'lists' parameter based on your data size
+-- Rule of thumb: lists = sqrt(number_of_rows), minimum 1
+CREATE INDEX player_embeddings_vector_idx ON player_embeddings 
+  USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);

prisma/migrations/20260117093011_/migration.sql

@@ -0,0 +1,19 @@
+/*
+  Warnings:
+
+  - Made the column `created_at` on table `player_embeddings` required. This step will fail if there are existing NULL values in that column.
+  - Made the column `updated_at` on table `player_embeddings` required. This step will fail if there are existing NULL values in that column.
+
+*/
+-- DropForeignKey
+ALTER TABLE "player_embeddings" DROP CONSTRAINT "player_embeddings_player_id_fkey";
+
+-- DropIndex
+DROP INDEX "player_embeddings_vector_idx";
+
+-- AlterTable
+ALTER TABLE "player_embeddings" ALTER COLUMN "created_at" SET NOT NULL,
+ALTER COLUMN "updated_at" SET NOT NULL;
+
+-- AddForeignKey
+ALTER TABLE "player_embeddings" ADD CONSTRAINT "player_embeddings_player_id_fkey" FOREIGN KEY ("player_id") REFERENCES "players"("id") ON DELETE CASCADE ON UPDATE CASCADE;

prisma/schema.prisma

@@ -40,6 +40,7 @@ model Player {
   favorited_by             CoachFavorite[]
   combine_registrations    CombineRegistration[]
   Conversation             Conversation[]
+  embedding                PlayerEmbedding?
   game_profiles            PlayerGameProfile[]
   league_participations    PlayerLeague[]
   performance_stats        PlayerPerformanceStats[]
@@ -59,6 +60,22 @@ model Player {
   @@map("players")
 }
 
+/// Player embeddings for AI-powered semantic search
+/// Note: The 'embedding' field is a vector(768) type managed via raw SQL
+/// Prisma doesn't natively support pgvector, so we use Unsupported type
+model PlayerEmbedding {
+  id             String   @id @default(dbgenerated("gen_random_uuid()")) @db.Uuid
+  player_id      String   @unique @db.Uuid
+  embedding      Unsupported("vector(768)")
+  embedding_text String
+  created_at     DateTime @default(now()) @db.Timestamp(6)
+  updated_at     DateTime @default(now()) @db.Timestamp(6)
+  player         Player   @relation(fields: [player_id], references: [id], onDelete: Cascade)
+
+  @@index([player_id])
+  @@map("player_embeddings")
+}
+
 /// Coaches table with Clerk integration
 model Coach {
   id                 String                     @id @default(dbgenerated("gen_random_uuid()")) @db.Uuid