AI Pinecone

AI Pinecone
Certified
Store embeddings in Pinecone

Creates or connects to a serverless Pinecone index in the given cloud/region; namespace defaults to Pinecone’s default. Requires an API key; drop=true clears the index contents.

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-001
      apiKey: "{{ secret('GEMINI_API_KEY') }}"
    embeddings:
      type: io.kestra.plugin.ai.embeddings.Pinecone
      apiKey: "{{ secret('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)

Mistral

Tasks and triggers for Mistral AI: chat completions and workflow orchestration.

Google Cloud

Execute tasks and orchestrate workflows across Google Cloud Platform services. Centralize authentication and resource management for seamless GCP integration.

CloudDataInfrastructureAI

AI PineconeCertifiedStore embeddings in Pinecone

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AI Pinecone
Certified
Store embeddings in Pinecone