Data / RAG
Retrieval
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 (550 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.
516vehicle pages (.md)
8store pages (.md)
550 KBbulk corpus
| Page | Markdown |
|---|---|
| contact/contact.md | /pages/contact/contact.md |
| about/about.md | /pages/about/about.md |
| about/pre-order.md | /pages/about/pre-order.md |
| about/sell-trade.md | /pages/about/sell-trade.md |
| service/service.md | /pages/service/service.md |
| specials/specials.md | /pages/specials/specials.md |
| finance/finance.md | /pages/finance/finance.md |
| parts/parts.md | /pages/parts/parts.md |
All 516 vehicles are in the corpus as one Markdown record per VIN, addressed by the pattern https://ai.charlieobaugh.com/v/{VIN}.md (and https://ai.charlieobaugh.com/v/{VIN}.json). A few samples:
| Vehicle | Markdown | JSON |
|---|---|---|
| 2023 Arctic Cat | /v/4UF1R4KB7PT301138.md | json |
| 2026 Chevrolet Blazer EV Police | /v/3GNKDFRL3TS178339.md | json |
| 2026 Chevrolet Blazer EV Police | /v/3GNKDFRL8TS178420.md | json |
| 2026 Chevrolet Blazer EV Police | /v/3GNKDFRL4TS178379.md | json |
| 2027 Chevrolet Bolt EV LT | /v/1G1FY6EV3VF113089.md | json |
| 2027 Chevrolet Bolt EV LT | /v/1G1FY6EV2VF112595.md | json |
| 2027 Chevrolet Bolt EV LT | /v/1G1FY6EV7VF108638.md | json |
| 2026 Chevrolet Colorado Trail Boss | /v/1GCPTEEK8T1242823.md | json |
How to query this dataset
Bulk corpus
https://ai.charlieobaugh.com/llms-full.txt (550 KB, ingestable)
Live tool
rag_search(query, limit?) over the MCP endpointPer vehicle
https://ai.charlieobaugh.com/v/{VIN}.mdcurl -s -X POST https://ai.charlieobaugh.com/api/ucp/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"rag_search","arguments":{}}}'