Spark progresses to alpha stage with significant updates

In recent updates, the development team has advanced the Spark project significantly, focusing on achieving a more streamlined and efficient system. Over the last few days, they have implemented a vibeforge self-improvement loop, allowing Spark to work toward specific goals with tuneable changes driven by recent successes. Key improvements include shifting the default search to a semantic-only approach by removing the keyword fallback, thereby enhancing query efficiency. Additionally, the dual-write phase has been completed with successful parity checks, and a command-line interface (CLI) has been introduced to simplify installations and updates.

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