MongoDBAtlas

MongoDB Atlas Embedding Store

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

Examples

Ingest documents into a MongoDB Atlas 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.MongoDBAtlas
      username: "{{ kv('MONGODB_ATLAS_USERNAME') }}"
      password: "{{ kv('MONGODB_ATLAS_PASSWORD') }}"
      host: "{{ kv('MONGODB_ATLAS_HOST') }}"
      database: "{{ kv('MONGODB_ATLAS_DATABASE') }}"
      collectionName: embeddings
      indexName: embeddings
    fromExternalURLs:
      - https://raw.githubusercontent.com/kestra-io/docs/refs/heads/main/content/blogs/release-0-24.md

Properties

collectionName*string

The collection name

host*string

The host

indexName*string

The index name

scheme*string

The scheme (e.g., mongodb+srv)

createIndexbooleanstring

Create the index

databasestring

The database

metadataFieldNamesarray

SubTypestring

The metadata field names

optionsobject

The connection string options

passwordstring

The password

usernamestring

The username

Opensearch (EE)

This sub-group of plugins contains tasks for using Opensearch EE. Opensearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.

Database

OpenSearch

This sub-group of plugins contains tasks for using Opensearch. Opensearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.

Database