Interactive workshop for implementing RAG systems using Anthropic's Citations API. Focused on advanced patterns, system architecture, and production deployment for senior engineers.
-
Updated
Jan 30, 2025 - Shell
#
citations-api
Here are 3 public repositories matching this topic...
LangGraph compliance-review agent for financial services. Citation-grounded determinations against a regulatory rulebook, conformal abstention to human review, Slack HITL approval gates, examiner-grade hash-chained audit log. Eval reports false-negative rate, not just accuracy.
python compliance financial-services audit-log aml regtech human-in-the-loop anthropic langgraph citations-api
-
Updated
Jun 20, 2026 - Python
Production RAG pipeline on FinanceBench: hybrid BM25+dense+RRF+Cohere Rerank, Anthropic Contextual Retrieval, conformal abstention (Yadkori 2024), Citations API grounding, triple eval (RAGAS+HHEM+DeepEval). Every eval number is reproducible and CI-gated.
-
Updated
Jun 16, 2026 - Python
Improve this page
Add a description, image, and links to the citations-api topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the citations-api topic, visit your repo's landing page and select "manage topics."