You are helping me build the following AI agent workflow.

## Goal
Internal Knowledge Base Chatbot with RAG: Ingests product docs from Google Docs into a vector store to answer internal queries with accurate, context-aware AI responses.

## Specification
- What it does: Get instant, accurate answers to your product questions by asking this chatbot, which pulls directly from your stored Google Docs. It automatically organizes your documentation into a searchable database so you receive context-aware responses without needing to hunt through files yourself.
- Trigger: Run manually (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: a few focused days
- Tools/services involved:
  - Google Docs: Document ingestion source
  - MongoDB Atlas Vector Store: Storing vector embeddings and metadata
  - Embeddings OpenAI: Generating vector embeddings for text chunks
  - OpenAI Chat Model: Generating context-aware answers via RAG

## Known pitfalls, handle each one explicitly in your implementation
1. Large documents may exceed token limits so implement a hierarchical summarization step before embedding the full text.
2. Stale data can mislead users so add a timestamp check in the retrieval filter to prioritize recently updated documentation.
3. Vector search latency increases with scale so configure MongoDB Atlas with appropriate vector indexes and limit top_k results.

## Reference implementation
https://n8n.io/workflows/4526 (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/internal-knowledge-base-chatbot-with-rag/ via usecasesforagents.com