KestraKVStore

In-memory embedding store that stores data as Kestra KV pairs

yaml
type: "io.kestra.plugin.ai.embeddings.KestraKVStore"

Examples

Ingest documents into a KV embedding store.\nWARNING: the KestraKVStore embeddings are for quick prototyping only; since they are stored in a KV store and loaded into memory, this won't scale with large numbers of documents.

yaml
id: document_ingestion
namespace: company.ai

tasks:
  - id: ingest
    type: io.kestra.plugin.ai.rag.IngestDocument
    provider:
      type: io.kestra.plugin.ai.provider.GoogleGemini
      modelName: gemini-embedding-exp-03-07
      apiKey: "{{ kv('GEMINI_API_KEY') }}"
    embeddings:
      type: io.kestra.plugin.ai.embeddings.KestraKVStore
    drop: true
    fromExternalURLs:
      - https://raw.githubusercontent.com/kestra-io/docs/refs/heads/main/content/blogs/release-0-24.md

Properties

kvName string

Default {{flow.id}}-embedding-store

The name of the KV pair to use

​Kestra​K​V​Store

KestraKVStore