
@matei_zaharia might be worth it to explore massively parallel agent calls + self-verification for making this even better and faster:
Users are excited about Databricks Instructed Retriever delivering 3x faster Knowledge Assistant search because parallel test-time compute outperforms sequential chains for latency-critical workloads.

@matei_zaharia might be worth it to explore massively parallel agent calls + self-verification for making this even better and faster:

@matei_zaharia interesting tradeoff. sequential thinking is simpler to debug but batch reasoning is the real bottleneck at scale.

@matei_zaharia 3x faster without breaking the sequential loop is the dream. parallel test-time compute makes so much more sense at scale.

@matei_zaharia I've been waiting for this. fan out queries in parallel and rerank by pivots. basically admitting sequential RAG was always going to choke in production. about time.

@matei_zaharia 2 lines setup + afterthought is tight here but ill make it work
parallel test-time compute > sequential chains for latency critical prod. hope the cost scales sublinearly too