Migrating data from Postgres to Convex

The text provides a comprehensive guide on migrating data from Postgres to Convex, outlining the steps needed to export and import data, define schemas, and manage table relationships. The process begins with dumping data from Postgres into a JSONL file using psql for smaller datasets, and then importing this data into a Convex project using npm and npx commands. Users are guided through defining a Convex schema, using tools such as LLMs to assist in schema generation, and reconnecting table relationships by utilizing Convex IDs. The guide also covers writing functions to fetch documents by ID and creating migrations to update relationship fields within the schema. Additionally, it highlights an alternative method for handling larger datasets or continuous data streaming through Airbyte integration. Convex is presented as a versatile backend platform conducive to building full-stack AI projects with features like cloud functions, databases, file storage, scheduling, and more.

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