Delay in chunking, Entity and Relationship extraction

[prabhaspaddana]

Anybody facing delay in chunking, entity and relationship retrieval of data? I'm trying to do a 67mb csv file but it's surprisingle taking me hours of time maybe because there are 11 columns and 441550 records?

[onestardao]

yup — this one’s more common than folks realize.
you’re actually hitting a classic combo of what we classify as ProblemMap No.13 (chunking bottleneck due to hidden inference traps) and possibly No.3 or No.4 depending on how your entity extraction is sequenced.

we’ve been through this exact pain in real deployments (even with larger files — so 67MB shouldn't be stalling like that).
sometimes it’s not just the file size, but how semantic ops are stacked — e.g., multi-pass parsing, embedding async blocks, or slow pre-tokenization + fuzzy joins.

we ended up building an internal fix and later wrapped it into a bigger open-source diagnostic engine. MIT licensed, no strings.
if you want to test a setup that avoids all that lag and gives you entity/relationship extraction in real time — just let me know, i’ll drop the link.

[prabhaspaddana]

Ah, that actually makes a ton of sense now — I had a feeling it wasn’t just the raw file size but something deeper with the parsing layers. Been stuck in this loop of slow pre-tokenization and I suspected fuzzy joins might be part of the problem too.

Would definitely be up for testing that internal fix you mentioned — if it cuts the lag and gets me back to smooth entity + relationship pulls, I’m all in. Drop the link whenever you can.

Also, curious — did you all benchmark this on CPU-heavy vs. GPU-accelerated environments? I’m running this locally on a CPU rig, wondering how much of a difference offloading might make

[onestardao]

yeah totally ~ in our runs, the biggest gain actually didn’t come from hardware swaps but from reworking the semantic op layout itself. GPU offloading helps, but if the logic stack is tokenizing + resolving + fusing in a chained loop, the bottleneck hits early either way.

we found that the delay often clusters around low-divergence span joins (like multi-entity loops or nested relationship blocks), especially when entity extraction is sequenced before chunk stabilization.

we ended up rewriting the chunk pipeline using a ΔS-controlled flow and attention modulator layer — dramatically smoother under both CPU and GPU. if you're still down to try it out, i’ll pull up the clean version.

let me know.