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Add usecases/llm-vector-banking-chatbot with LocalStorage CSV seeds, Dozer config + spend-profile SQL, and a LangChain RAG stub that runs offline in fixture mode. Document honest gaps and /claim template in SAMPLE_NOTES.md. Local branch only — no payout claimed.
Run dozer build/run against the banking sample on 0.3.0, fix composite spend-profile PK and client-side customer filtering, add unit tests and a text demo log. Document 0.4+ endpoints removal honestly (no payout).
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Demo video (offline fixture mode): C001 → Dozer Travel Signature, C003 → Dozer Campus Starter. Video in branch: |
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/claim getdozer/dozer#1690
Summary
Adds
usecases/llm-vector-banking-chatbot: Dozer LocalStorage over customer profiles, accounts, transactions, and card products; SQLcustomer_spending_profile; REST endpoints; LangChain/Chroma retrieval stub with fixture mode and--use-dozer.Verification (done on Dozer 0.3.0)
dozer --ignore-pipe build -c dozer-config.yamldozer --ignore-pipe run -c dozer-config.yaml→ REST on:8080python3 app/rag_chatbot.py --use-dozer --customer C001 …→ Travel Signaturepython3 app/rag_chatbot.py --use-dozer --customer C003 …→ Campus Starterpytest -q tests/test_rag_chatbot.py→ 7 passedusecases/llm-vector-banking-chatbot/demo-log.txtusecases/llm-vector-banking-chatbot/demo-fixture.mp4(offline fixture: C001 → Travel Signature, C003 → Campus Starter)Honest notes
endpoints). Dozer ≥0.4.0 removed built-in APIs and rejects this config.--use-dozerfilters customer rows client-side (0.3 ignores?customer_id=).Test plan
SAMPLE_NOTES.md.