Navneet Verma
Navneet Verma
@tiagoshin I some deep-dive here: https://github.com/opensearch-project/neural-search/issues/497#issuecomment-1862259133 can you check on your side for you also this was the issue? if not can you provide the query skeleton so that I...
> Thanks for the quick investigation! To clarify, am I supposed to avoid combining match and neural with the same query? As in, this isn't okay? (from [the docs](https://opensearch.org/docs/latest/search-plugins/hybrid-search/#step-5-search-the-index-using-hybrid-search)): "query":...
> Ah, that makes a lot more sense, I will fix that then. Thanks for all your help. Sure, I am planning to add an exception signature if we found...
@tiagoshin can you share the query skeleton with me so that I can reproduce the issue. BTW are you setting `track_total_hits` in the query?
> @navneet1v I got the same issue that I reported before about the IndexOutOfBoundsException on version 2.12.0 when increasing the `ef_construction` parameter to 1024. Before that, the exact same query...
> @navneet1v I saw your comment about having 2 queries that are the same, but it's not the case. I have only 2 queries, one for neural search and the...
> @navneet1v you're right, this [issue](https://github.com/opensearch-project/neural-search/issues/497#issuecomment-1866703181) in particular is caused by system memory constraints. I increased the JVM heap size and it worked, thank you! However it worth noting that...
So I was able to get to the rootcause of the issue mentioned here(https://github.com/opensearch-project/neural-search/issues/497#issuecomment-1863499052): > Hi @navneet1v, thank you very much for your attention. I'm testing the build for 2.12.0...
> @navneet1v > > 1. I'm using two shards: > > [Block (12 lines)](#) > ``` > index shard prirep state docs store ip node > .plugins-ml-model-group 0 p STARTED...
[FEATURE] Refactor on data validation and extraction from customer's documents in several processors
@zane-neo can we have a utility exposed from opensearch-core for this? @mingshl was also doing something similar for MLInference processor. I would recommend we coming up with a common utility...