The document describes the four phases of building a conversational graph database that can handle large-scale web traffic. Phase 1 involved a prototype with two servers and PHP/MySQL that had issues with distribution and performance. Phase 2 added Amazon servers and Python with SimpleDB and SQS but had database slowness and workflow problems. Phase 3 introduced a RESTful API with Tokyo Cabinet and handled millions of calls per hour with no issues. Phase 4 added search capabilities by indexing millions of items per day but required large Amazon servers for speed. Each phase addressed problems from previous phases to improve scalability and performance.