Add initial project documentation

docs/services/embedding-service.md

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+# Embedding Service
+
+**Package:** `@nexusai/embedding-service`  
+**Location:** `packages/embedding-service`  
+**Deployed on:** Mini PC 1 (192.168.0.81)  
+**Port:** 3003
+
+## Purpose
+
+Converts text into vector embeddings for storage in Qdrant. Keeps
+embedding workload off the main inference node.
+
+## Dependencies
+
+- `express` — HTTP API
+- `ollama` — Ollama client for embedding model
+- `dotenv` — environment variable loading
+- `@nexusai/shared` — shared utilities
+
+## Environment Variables
+
+| Variable | Required | Default | Description |
+|---|---|---|---|
+| PORT | No | 3003 | Port to listen on |
+| OLLAMA_URL | No | http://localhost:11434 | Ollama instance URL |
+| EMBEDDING_MODEL | No | nomic-embed-text | Ollama embedding model to use |
+
+## Endpoints
+
+| Method | Path | Description |
+|---|---|---|
+| GET | /health | Service health check |
+
+> Further endpoints will be documented as the service is built out.