# Does the ingest pipeline support automatic embedding conversion from text to vectors?

**URL:** <https://discuss.elastic.co/t/does-the-ingest-pipeline-support-automatic-embedding-conversion-from-text-to-vectors/375070>\
**Category:** Kibana\
**Created:** [February 26, 2025, 10:20am UTC](https://discuss.elastic.co/t/does-the-ingest-pipeline-support-automatic-embedding-conversion-from-text-to-vectors/375070 "2025-02-26T10:20:01Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Thulasi\_Vasan\_S](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/thulasi_vasan_s/32/141644_2.png) [@Thulasi\_Vasan\_S](https://discuss.elastic.co/u/Thulasi_Vasan_S)\
**Post date:** [February 26, 2025, 10:20am UTC](https://discuss.elastic.co/t/does-the-ingest-pipeline-support-automatic-embedding-conversion-from-text-to-vectors/375070/1 "2025-02-26T10:20:01Z")

</div>

I am looking for a way to automate the process of converting text to vector embeddings and storing them in an Elasticsearch index.

End Goal: The content should be stored in vector format, which I will later use for RAG.

Does anyone have any ideas?