RAG: the pages it generated
Retrieval-augmented generation over this dealer's data. Every vehicle and store page is expanded into plain-text Markdown you can browse below, pull as one bulk corpus, or query live with the rag_search tool.
How the RAG corpus works
Each vehicle and store page is written out as clean Markdown and concatenated into a single bulk corpus, llms-full.txt (3,549 KB). An agent can ingest the whole corpus, or call rag_search(query) over the MCP endpoint to retrieve just the matching chunks with source links. Everything below is a real generated page you can open.
Every document is checked against an admission policy before it joins the corpus. Search-results and filter pages are refused, interface furniture and text that repeats across the corpus is removed, thin and near-identical documents are refused, and each refusal is recorded with its reason.
| Document type | Documents |
|---|---|
| models | 118 |
| pages | 15 |
| faq | 15 |
| site | 9 |
| guides | 5 |
| about | 3 |
| parts | 1 |
| finance | 1 |
| contact | 1 |
| legal | 1 |
| offers | 1 |
| service | 1 |
| Measure | Value |
|---|---|
| Documents evaluated for admission | 15 |
| Admitted | 11 |
| Refused | 4 |
| Average unique words per admitted document | 153.9 |
| Repeated blocks lifted into a single document | 0 |
| Near-duplicate ratio | 0.0 |
| Model summaries built from inventory records | 118 |
| Dealer knowledge documents | 6 |
| Average words per model summary | 47.4 |
| Reason | Documents |
|---|---|
| Search-results or listing page | 4 |
These questions have no source content, so no document claims to answer them: Opening hours, Delivery and out-of-area purchase.
All 796 vehicles are in the corpus as one Markdown record per VIN, addressed by the pattern https://ailc-test.brandry.ai/ai/v/{VIN}.md (and https://ailc-test.brandry.ai/ai/v/{VIN}.json). A few samples:
rag_search(query, limit?) over the MCP endpointhttps://ailc-test.brandry.ai/ai/v/{VIN}.mdcurl -s -X POST https://ailc-test.brandry.ai/ai/api/ucp/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"rag_search","arguments":{}}}'