fix: use existing embed-server on :8001

Remove duplicate TEI service, point to existing
nomic-embed-text-v1.5 server.

CLAUDE.md

@@ -95,7 +95,7 @@ Memory is keyed by `(personaId, nick)` — one file per user per persona.
 | API V2 | 4180 | HTTP + WS |
 | Frontend | 5173 | Vite dev |
 | vLLM | 8000 | Primary OpenAI-compatible text runtime (qwen-32b-awq) |
-| TEI | 9500 | Dedicated embedding server (BAAI/bge-m3, CPU) |
+| TEI | 8001 | Dedicated embedding server (nomic-embed-text-v1.5, CPU) |
 | PostgreSQL | 5432 | V2 persistence (optional for API, required for worker) |
 | LightRAG | 9621 | Graph-RAG; `LLM_MODEL=mistral:7b` to avoid `<think>` JSON corruption |
 | SearXNG | 8080 | Self-hosted search |
@@ -133,9 +133,9 @@ data/
 LLM_URL=http://localhost:8000           # vLLM OpenAI-compatible endpoint
 LLM_MODEL=qwen-32b-awq
 LLM_API_KEY=vllm-er-2026               # Bearer token for vLLM --api-key
-OLLAMA_URL=http://localhost:9500        # TEI embedding server
+OLLAMA_URL=http://localhost:8001        # TEI embedding server (embed-server)
 EMBEDDING_BACKEND=tei                   # "tei" or "ollama"
-RAG_EMBEDDING_MODEL=BAAI/bge-m3
+RAG_EMBEDDING_MODEL=nomic-ai/nomic-embed-text-v1.5
 DATABASE_URL=postgres://kxkm:kxkm@localhost:5432/kxkm_clown
 V2_API_PORT=4180
 TTS_ENABLED=1

docker-compose.yml

@@ -13,9 +13,12 @@
 # ---------------------------------------------------------------------------
 
 x-common-env: &common-env
-  LLM_URL: "${LLM_URL:-http://host.docker.internal:11434}"
-  LLM_MODEL: "${LLM_MODEL:-qwen-14b-awq}"
-  OLLAMA_URL: "${OLLAMA_URL:-http://host.docker.internal:11434}"
+  LLM_URL: "${LLM_URL:-http://host.docker.internal:8000}"
+  LLM_MODEL: "${LLM_MODEL:-qwen-32b-awq}"
+  LLM_API_KEY: "${LLM_API_KEY:-}"
+  OLLAMA_URL: "${OLLAMA_URL:-http://host.docker.internal:8001}"
+  EMBEDDING_BACKEND: "${EMBEDDING_BACKEND:-tei}"
+  RAG_EMBEDDING_MODEL: "${RAG_EMBEDDING_MODEL:-nomic-ai/nomic-embed-text-v1.5}"
   DATABASE_URL: postgres://kxkm:kxkm@postgres:5432/kxkm_clown
   NODE_ENV: production
 
@@ -389,25 +392,9 @@ services:
     depends_on:
       - prometheus
 
-  # --- Text Embeddings Inference (dedicated embedding server) -----------------
-  # Usage: docker compose --profile embeddings up -d
-  # Exposes OpenAI-compatible /v1/embeddings on port 9500
-  # -------------------------------------------------------------------------
-  tei:
-    image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.6
-    container_name: kxkm-tei
-    restart: unless-stopped
-    profiles: [v2, embeddings]
-    ports:
-      - "9500:80"
-    volumes:
-      - tei-models:/data
-    command: --model-id BAAI/bge-m3 --port 80
-
 volumes:
   app-data:
   pg-data:
   ollama-data:
-  tei-models:
   prometheus-data:
   grafana-data: