Collaborative messaging applications such as Slack (or it's open source counterpart Mattermost) are popular communication tools for organizations, and the logs of the converstions on these forums often contain very valuable question and answer sets. Unfortunately, these Q&A sets can be difficult to identify and search since they are usually embedded in non-topical conversations. To help solve this problem for a company I consulted with I developed a search tool '/qlog' that operates as a mattermost slash bot that performs a natural language search for question and answer sets within the messaging conversation logs.

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