Not getting much help

[samer_saleh]

Initially I struggled to download the latest version because I was getting an error when trying to launch Elastic so I switched between different versions until I figured out what the issue is and upgraded to the latest, however that is one of many post what about the others:

Kibana Search Application Customize Returned Result

Kibana Search Application Customize Returned Result

Hi , Im trying the Kibana Search Applications for the first time. Initially when I created the search application against a certain index I was getting all the fields displayed. After some reading I found that I can you update the search template behind the search application to include certain fields. the steps were as follows: 1- I went to the Kibana Deve Tools and made the following API call to update my search template and return the "text" field using the _source config: PUT /_applicatio…

Semantic_text and nested option

Elasticsearch Semantic_text Search

Hi, Is there any plans to make the semantic_text field nested on the future so that chunks can be searched , scored and returned as part of inner_hits query? Right now it doesnt seem like there is a way to do that. yes the chunks are indexed and searched but the who document is being returned.

How to customize Returned Results in Kibana Search Applications

How to customize Returned Results in Kibana Search Applications

Hi, Is there a way to peform semantic search or vector search in Kibana? I tried creating views against certain indexes with embedding but It doesnt seem to allow it. For starters I want to be able to hide some of the fields in when doing the filter.

FSCrawler and Open AI model

FSCrawler and Open AI model

Hi Im trying to follow this example to utilize open AI models (text-embedding-ada-002, text-embedding-3-large") on files that are scraped via the FSCrawler. The mapping , chunking and ingesting pipeline is taken from this blog . However Im getting the following error when running the inference ingestion process on each chunk: pipeline 'my_openai_embedding_model' failed with message '[inference_id] is configured for the _inference API and does not accept documents as input am I doing somethin…

I should have mentioned on those that Im using 8.17 but when I talk about semantic_text and search application in Kibana it should imply that.

Thanks