You are helping me build the following AI agent workflow.

## Goal
Document Compliance Validation: Upload a document and policy via webhook to get an AI compliance report with alignment summaries, gaps, citations, and confidence scores.

## Specification
- What it does: Upload your document and policy via webhook to instantly receive a compliance report that highlights alignment, identifies gaps, cites supporting evidence, and provides confidence scores. This process uses AI to evaluate your content against specific rules without manual review.
- Trigger: Triggered by an event (Manual · on document upload and procedure submission)
- Autonomy: You stay in control
- Expected setup effort: a few focused days
- Tools/services involved:
  - HTTP Request: Triggering workflow via webhooks for uploads and submissions
  - Qdrant Vector Store: Storing document vector embeddings
  - Ollama Chat Model: Running the AI agent for compliance analysis
  - LangChain Code: Processing text and structuring output

## Known pitfalls, handle each one explicitly in your implementation
1. Large documents may exceed context windows so you must implement a chunking strategy before embedding.
2. Qdrant distance metrics can cause false positives if not tuned to your specific embedding model so verify cosine similarity thresholds with sample data.
3. Policy text might contain jargon that the generic model misinterprets so include a glossary injection step in the prompt context.

## Reference implementation
https://n8n.io/workflows/7662 (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/automated-document-compliance-validation/ via usecasesforagents.com