Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...
Turn any text into a queryable database. Logs, code, CSVs, JSON, config files—they're all just data you can't query yet. Sift changes that. Pipe any text through sift and instantly query it with SQL.
The Rust Self-Learning Memory System provides persistent memory across agent interactions through a comprehensive MCP (Model Context Protocol) server with secure code execution. It captures, stores, ...
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