Add Elasticsearch to the README #3688
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Elasticsearch is by far the most widely deployed vector database (https://db-engines.com/en/ranking/vector+dbms) and we were also part of the 1.0 launch. Signed-off-by: Philipp Krenn <[email protected]>
Contributor
|
I agree that Elasticsearch is a major database. |
Contributor
Author
|
Right now 13 out of 20 (listed in the sidebar of https://docs.spring.io/spring-ai/reference/api/vectordbs.html) seem to be listed. So I guess it should be all of them for the sake of completeness? |
sobychacko
added
documentation
sobychacko
pushed a commit
that referenced
this pull request
Jun 27, 2025
Elasticsearch is by far the most widely deployed vector database (https://db-engines.com/en/ranking/vector+dbms) and we were also part of the 1.0 launch. Fixes: #3688 Signed-off-by: Philipp Krenn <[email protected]>
Contributor
|
Merged. Feel free to add the other stores to the docs. |
scionaltera
pushed a commit
to scionaltera/spring-ai
that referenced
this pull request
Sep 3, 2025
Elasticsearch is by far the most widely deployed vector database (https://db-engines.com/en/ranking/vector+dbms) and we were also part of the 1.0 launch. Signed-off-by: Philipp Krenn <[email protected]>
chedim
pushed a commit
to couchbaselabs/spring-ai
that referenced
this pull request
Sep 19, 2025
Elasticsearch is by far the most widely deployed vector database (https://db-engines.com/en/ranking/vector+dbms) and we were also part of the 1.0 launch. Signed-off-by: Philipp Krenn <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
4 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Elasticsearch is by far the most widely deployed vector database (https://db-engines.com/en/ranking/vector+dbms) and we were also part of the 1.0 launch.