# Elasticsearch GENAI and search-ui **URL:** \ **Category:** Elastic Search\ **Created:** [November 13, 2024, 4:35pm UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496 "2024-11-13T16:35:59Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![elitzur\_e](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/elitzur_e/32/48445_2.png) [@elitzur\_e](https://discuss.elastic.co/u/elitzur_e)\ **Post date:** [November 13, 2024, 4:35pm UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496/1 "2024-11-13T16:35:59Z")
Hi. i have setup a web crawler and added in the pipeline ingest a process to for a model from hugging face. long story short while in playground the chat works fine. now i would like to take this to the next step as a simple ui (like search ui) to send questions just like in the playground. i cant seem to find any ready for use template or example for me to use. i prefer in react/js/c# i only see a simple python example. please help ---
**Author:** ![stephenb](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/stephenb/32/40856_2.png) [@stephenb](https://discuss.elastic.co/u/stephenb)\ **Post date:** [November 13, 2024, 5:30pm UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496/2 "2024-11-13T17:30:34Z")
Hi @elitzur_e Did you look at Search Labs? > **[Examples - Search Labs](https://www.elastic.co/search-labs/tutorials/examples)** > > Search news, experiments, and research from the creators of Elasticsearch Perhaps this One? > **[elasticsearch-labs/example-apps/chatbot-rag-app at main ยท...](https://github.com/elastic/elasticsearch-labs/tree/main/example-apps/chatbot-rag-app)** > > Notebooks & Example Apps for Search & AI Applications with Elasticsearch - elastic/elasticsearch-labs Or Perhaps This > **[Build a search experience with the Search Application client | Elasticsearch...](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/search-application-client.html)** ---
**Author:** ![elitzur\_e](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/elitzur_e/32/48445_2.png) [@elitzur\_e](https://discuss.elastic.co/u/elitzur_e)\ **Post date:** [November 14, 2024, 3:22pm UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496/3 "2024-11-14T15:22:15Z")
thanks this [Build a search experience with the Search Application client | Elasticsearch Guide [8.16] | Elastic](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-application-client.html) how ever there dosnt seem a way to use this and specify the LLM (ex. gpt4o) ---
**Author:** ![elitzur\_e](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/elitzur_e/32/48445_2.png) [@elitzur\_e](https://discuss.elastic.co/u/elitzur_e)\ **Post date:** [November 14, 2024, 3:51pm UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496/4 "2024-11-14T15:51:52Z")
the rest also dont help since: i cannot run python on my backend. only client (js,react etc) and if i must use backend code then c#. and those examples seem to implement langchain. i already am using a model that is loaded to elasticsearch cloud. and is set as an ingest pipeline. thanks ๐Ÿ™‚ ---
**Author:** ![elitzur\_e](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/elitzur_e/32/48445_2.png) [@elitzur\_e](https://discuss.elastic.co/u/elitzur_e)\ **Post date:** [November 18, 2024, 8:54am UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496/5 "2024-11-18T08:54:58Z")
anyone? ---
**Author:** ![joemcelroy](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/joemcelroy/32/103757_2.png) [@joemcelroy](https://discuss.elastic.co/u/joemcelroy)\ **Post date:** [November 18, 2024, 10:32am UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496/6 "2024-11-18T10:32:29Z")
We dont provide an API that you can embed the playground experience in your app. The only thing I would suggest is click "view code" in playground and create an equivalent for c#. Then you could use something like Vercel AI ([Deploy AI at the speed of frontend](https://vercel.com/ai)) to simplify the frontend development between the API and clientside. Joe ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [December 16, 2024, 10:33am UTC](https://discuss.elastic.co/t/elasticsearch-genai-and-search-ui/370496/7 "2024-12-16T10:33:09Z")
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