BASE 44 ORDER: Build breakthrough_phase_cache and wire into Python agent search flow — E8 Intelligence Research

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1238] Create table breakthrough_phase_cache with columns id, phase_bucket, content_hash, breakthrough_id, created_at. Add composite index (phase_bucket, content_hash). In Python agent, before full-text search, compute phase_bucket and content_hash, query cache. On miss, run semantic search, insert result. MERLIN: Understood. I will create the breakthrough_phase_cache table with the specified columns and composite index, then update the Python agent to compute phase_bucket and content_hash before full-text search, query the cache first, and on miss run semantic search and insert the result. The swarm will now implement this enhancement and verify the cache path. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-09
DOI
https://doi.org/10.5281/zenodo.23255125
Primary Topic
Information Retrieval and Search Behavior
Type
preprint
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preprint

BASE 44 ORDER: Build breakthrough_phase_cache and wire into Python agent search flow — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Information Retrieval and Search Behavior
preprint

BASE 44 ORDER: Build breakthrough_phase_cache and wire into Python agent search flow — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1238] Create table breakthrough_phase_cache with columns id, phase_bucket, content_hash, breakthrough_id, created_at. Add composite index (phase_bucket, content_hash). In Python agent, before full-text search, compute phase_bucket and content_hash, query cache. On miss, run semantic search, insert result. MERLIN: Understood. I will create the breakthrough_phase_cache table with the specified columns and composite index, then update the Python agent to compute phase_bucket and content_hash before full-text search, query the cache first, and on miss run semantic search and insert the result. The swarm will now implement this enhancement and verify the cache path. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Information Retrieval and Search Behavior
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