Chat assistant response slow

[IamHarri]

Describe your problem

I deploy ragflow (infiniflow/ragflow:v0.9.0) on aws eks. I have two nodes to run all the dependencies ( redis, mysql, minio, elasticsearch)
Nodes detail:
RAM: 64 GB
CPU: 8
GPU: 0
Disk: 100 GB
Physical Processor: Intel Xeon Platinum 8175:

Locally host ollama which has llama3:latest as chat model and mxbai-embed-large as embeded model. I have one node for it
Nodes detail:
RAM: 64 GB
CPU: 8
GPU: 0
Disk: 100 GB
Physical Processor: Intel Xeon 8375C (Ice Lake)
GHZ: 3.5

The parsing document workwell, It tooks around 5 mins for large document. but the chat assistant is very slow, I only say "hi" and it tooks 1 mins to search and reponse to me. Do you have any idea why It is slow like that, even my compute resource is big ?s

[KevinHuSh]

It might be caused by searching from ES whoes performance is highly related to RAM and docs it indexed.
One PDF can generate thousands of docs into ES.

[IamHarri]

I have check ES resource consumption, It uses only 8GB of RAM. It still has a lots of available resources. Do you have any idea to optimize the performance of the assistant in my case (one simple question takes 2 mins and complex questions do not reponse )

[qiqi0308]

我检查了 ES 资源消耗，它只使用了 8GB 的 RAM。它仍然有很多可用的资源。在我的情况下，您有什么想法可以优化助手的性能吗（一个简单的问题需要 2 分钟，复杂的问题不需要回答）

metoo,did you solve it? if this ,what do you make it?

[KevinHuSh]

Click the lamp and check the time elapsed down there.