Elasticsearch
This plugin is currently in beta. While it is considered safe for use, please be aware that its API could change in ways that are not compatible with earlier versions in future releases, or it might become unsupported.
Elasticsearch Embedding Store
type: "io.kestra.plugin.langchain4j.embeddings.Elasticsearch"
Ingest documents into an Elasticsearch embedding store.\nWARNING: it needs Elasticsearch version 8.15 minimum.
id: document-ingestion
namespace: company.team
tasks:
- id: ingest
type: io.kestra.plugin.langchain4j.rag.IngestDocument
provider:
type: io.kestra.plugin.langchain4j.provider.GoogleGemini
modelName: gemini-embedding-exp-03-07
apiKey: "{{ secret('GEMINI_API_KEY') }}"
embeddings:
type: io.kestra.plugin.langchain4j.embeddings.Elasticsearch
connection:
hosts:
- http://localhost:9200
fromExternalURLs:
- https://raw.githubusercontent.com/kestra-io/docs/refs/heads/main/content/blogs/release-0-22.md
The name of the index to store embeddings
Basic auth password.
Basic auth username.
1
List of HTTP ElasticSearch servers.
Must be an URI like https://elasticsearch.com: 9200
with scheme and port.
Basic auth configuration.
List of HTTP headers to be send on every request.
Must be a string with key value separated with :
, ex: Authorization: Token XYZ
.
Sets the path's prefix for every request used by the HTTP client.
For example, if this is set to /my/path
, then any client request will become /my/path/
+ endpoint.
In essence, every request's endpoint is prefixed by this pathPrefix
.
The path prefix is useful for when ElasticSearch is behind a proxy that provides a base path or a proxy that requires all paths to start with '/'; it is not intended for other purposes and it should not be supplied in other scenarios.
Whether the REST client should return any response containing at least one warning header as a failure.
Trust all SSL CA certificates.
Use this if the server is using a self signed SSL certificate.