Question

You are designing an Azure AI Foundry agent for a legal firm. The agent must answer questions grounded in a corpus of 50,000 contract PDFs that are updated weekly. Answers must cite the exact clause and document, and the firm requires that the retrieval approach handle both keyword-heavy legal terminology (e.g., specific statute numbers) and conceptual paraphrased questions. Which knowledge integration approach should you configure for the agent?

Accepted Answer

Connect the agent to an Azure AI Search knowledge source configured with a hybrid index (vector + keyword) and semantic ranking, with a scheduled indexer for weekly updates

Answer

Attach the PDFs directly to each agent thread as file uploads so the model reads them in context at query time

Answer

Fine-tune the base LLM on the contract corpus and redeploy the fine-tuned model weekly

Answer

Store all contract text in the agent's system prompt and refresh the prompt template weekly