Pinecone

Pinecone Embedding Store

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

Examples

Ingest documents into a Pinecone embedding store

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.Pinecone
      apiKey: "{{ kv('PINECONE_API_KEY') }}"
      cloud: AWS
      region: us-east-1
      index: embeddings
    fromExternalURLs:
      - https://raw.githubusercontent.com/kestra-io/docs/refs/heads/main/content/blogs/release-0-24.md

Properties

apiKey *string

The API key

cloud *string

The cloud provider

index *string

The index

region *string

The cloud provider region

namespace string

The namespace (default will be used if not provided)

​Pinecone

Pinecone