· 10 min read · ai-agents
I Benchmarked My Homelab Memory Stack: Hybrid Search + Local Reranker Took LoCoMo from 63% to 80%
How adding BM25 hybrid search and a local BGE reranker to a vector-only agent memory stack moved LoCoMo accuracy from 63% to 80%, and what it cost in latency.
ai-agentsraghybrid-searchrerankervector-searchlocomo
· 8 min read · ai-agents
Silent Drift: Why Re-Embedding Only on Count Changes Rots Your Semantic Index
Count-based re-embedding leaves stale vectors pointing at edited text. Here's how semantic drift creeps in and how hash-based validation stops it.
ai-agentsragembeddingsvector-searchsemantic-index
· 11 min read · ai-agents
Eviction Without Deletion: Running an ACT-R Decay Policy for Agent Memory
Stop deleting agent memories to fight vector-store noise. An ACT-R decay policy lowers activation instead, so cold context can re-activate later.
ai-agentsagent-memoryact-rcognitive-memoryvector-searchdecay