The idea is:
Hello n8n Team,
I am reaching out to inquire whether there are any plans to develop a component that allows Elasticsearch to be used as a vector database within n8n. Integrating Elasticsearch as a vector DB would greatly enhance workflow capabilities, especially for applications requiring advanced search and data analysis functionalities.
If such development is underway or being considered, could you please share any updates or timelines? Additionally, if there are alternative solutions or recommended approaches to achieve this integration in the meantime, I would appreciate your guidance.
Thank you for your continuous efforts in improving n8n and supporting the community.
My use case:
rag source → embedding → vector db store (elasticsearch)
customor question → embedding → elasticsearch knn query + rerank search → retriver → llm → answer make
I think it would be beneficial to add this because:
I am evaluating various flow solutions, and while the support for Elasticsearch vector DB is a key factor, the security features of n8n are very appealing, making it difficult to adopt Langflow. Therefore, I would prefer to use n8n as much as possible if it can support Elasticsearch vector DB.
Any resources to support this?
Are you willing to work on this?
I cannot