citations-retrieval

To ground AI responses and prevent hallucinations, this Skill implements Anthropic's Citations API and Retrieval-Augmented Generation (RAG) patterns. It attributes generated text to specific source documents with precise location tracking, ensuring factual accuracy.

Contextual retrieval is a technique within Retrieval-Augmented Generation (RAG) that extracts cited text passages to provide precise source attribution. It ensures AI-generated answers are directly linked to exact locations in the original source documents for verification.

Building a RAG system with exact passage citations is achieved by implementing the Citations API patterns provided. This Skill facilitates extraction of cited text and precise location tracking, extending the AI's knowledge base beyond its training data.

Yes, you can answer questions about company policy and cite the exact section used. The Skill attributes AI-generated text to specific source documents with precise location tracking, allowing users to verify the information immediately.

Yes, this RAG implementation supports multi-format citation across different document types. It facilitates precise source attribution and extraction of cited text, enabling the construction of verifiable, trustworthy AI systems using diverse source materials.

You should use retrieval-augmented generation when answering queries about specific or updated information like company policies. RAG extends the AI's knowledge base beyond its training data, grounding responses in source documents to prevent hallucinations.