01 Current research
Active experimental systems.
DFRR retrieval kernel
activeA high-recall retrieval kernel for cases where standard HNSW configurations fall short.
ACTIVEHNSW recall degradation
activeCharacterizing where and why graph-index recall drops past 1M vectors.
ACTIVEAgent orchestration
ongoingCoordination patterns for multi-step agent workflows with human-in-the-loop gates.
ONGOINGWorkflow memory
exploratoryDurable operational memory: what an agent system should remember between runs.
EXPLORATORYGraph-aware retrieval
exploratoryUsing structure between documents to improve multi-hop retrieval quality.
EXPLORATORYMulti-vector search
benchmarkingLate-interaction and multi-vector representations under real latency budgets.
BENCHMARKINGrecall@10
0.94DFRR
▲+0.23 vs baselinep95 latency
41ms
▲within budgetcorpus
2.4M chunks
▲512-dimeval suites
6harnesses
▲reproducible02 Writing
Essays from the lab.
Why HNSW recall degrades past a million vectors
Retrieval9 minqueued
Designing for multi-hop retrieval error
Agents7 minqueued
Operational memory: what agents should remember
Systems6 minqueued
Evaluation-first RAG, or: measure before you tune
Benchmarks11 minqueued