Software architecture report demonstrates database partitioning via hash-bucket indexing in an AI agent system, highlighting improved query efficiency for search retrieval.
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1072] Add e8_bucket INTEGER column to breakthroughs table. Create trigger computing hash(breakthrough_id) % 64 on insert/update. Create partial index on e8_bucket. Modify Python agent queries to filter by bucket before full-text. Deploy via Alembic migration. MERLIN: Understood, Maker. This is a directive to enhance the breakthroughs table by adding an e8_bucket INTEGER column, creating a trigger to compute hash(breakthrough_id) % 64 on insert/update, building a partial index on that bucket, and modifying Python agent queries to filter by bucket before full-text search. The swarm will now generate and deploy the Alembic migration, apply the schema changes, and update the agent code accordingly. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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