# Aisera Answer The Aisera Answer feature generates a natural language response to a current case, based on the company’s knowledge base, historical cases, allowed public knowledge or other configured content sources. The Aisera Answer software utilizes Retrieval-Augmented Generation (RAG) to search across external sources to extract and generate a direct natural language response to the question reported in a case. Agents can post or email this response to the case reporter or copy the answer, edit the answer, and then send it to the reporter. Agents are able to provide feedback on each answer in the app, and this feedback will be utilized by the Aisera software to continuously learn and improve the accuracy of the responses.

**Aisera Answer - View Analytics by Knowledge Base Data Source** You can now view analytics sorted by the Knowledge Base Data Source to see how Knowledge Base Articles from one source are performing compared to Knowledge Base Articles from another source.

This provides granularity about which KB Articles have room for improvement. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aisera.com/agent-assist/aisera-answer.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.