You are helping me build the following AI agent workflow.

## Goal
Ecommerce Support with RAG and Human Escalation: Answers customer questions using live WooCommerce data and policy docs, escalating unresolved chats to human support via email.

## Specification
- What it does: Get instant answers about your products, policies, and FAQs powered by live store data and policy documents. When issues remain unresolved, the system automatically sends a full chat transcript to your human support team via email for immediate resolution.
- Trigger: Triggered by an event (Event · on new chat message)
- Autonomy: Fully hands-off
- Expected setup effort: a few focused days
- Tools/services involved:
  - n8n: Workflow orchestration platform
  - WooCommerce: Retrieving live product data and availability
  - Qdrant Vector Store: Storing vector embeddings for semantic search
  - Google Drive: Hosting company documents and policies
  - OpenAI Chat Model: Processing natural language queries and generating responses

## Known pitfalls, handle each one explicitly in your implementation
1. Qdrant search results may include outdated product info, so implement a timestamp filter or freshness check before returning answers.
2. Context window overflow can truncate conversation history, so add a summarization step to keep the context manageable.

## Reference implementation
https://n8n.io/workflows/15855 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/ecommerce-support-with-rag-and-human-escalation/ via usecasesforagents.com