Pinecone · Schema

Pod-based

Configuration needed to deploy a pod-based index.

Vector DatabasesArtificial IntelligenceEmbeddingsRAG

Properties

Name Type Description
environment string The environment where the index is hosted.
replicas integer The number of replicas. Replicas duplicate your index. They provide higher availability and throughput. Replicas can be scaled up or down as your needs change.
shards integer The number of shards. Shards split your data across multiple pods so you can fit more data into an index.
pod_type string The type of pod to use. One of `s1`, `p1`, or `p2` appended with `.` and one of `x1`, `x2`, `x4`, or `x8`.
pods integer The number of pods to be used in the index. This should be equal to `shards` x `replicas`.'
metadata_config object Configuration for the behavior of Pinecone's internal metadata index. By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed. These configur
source_collection string The name of the collection to be used as the source for the index.
View JSON Schema on GitHub

JSON Schema

pinecone-podspec-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/PodSpec",
  "title": "Pod-based",
  "example": {
    "environment": "us-east1-gcp",
    "metadata_config": {
      "indexed": [
        "genre",
        "title",
        "imdb_rating"
      ]
    },
    "pod_type": "p1.x1",
    "pods": 1,
    "replicas": 1,
    "shards": 1,
    "source_collection": "movie-embeddings"
  },
  "description": "Configuration needed to deploy a pod-based index.",
  "type": "object",
  "properties": {
    "environment": {
      "example": "us-east1-gcp",
      "description": "The environment where the index is hosted.",
      "type": "string"
    },
    "replicas": {
      "description": "The number of replicas. Replicas duplicate your index. They provide higher availability and throughput. Replicas can be scaled up or down as your needs change.",
      "default": 1,
      "type": "integer",
      "format": "int32",
      "minimum": 1
    },
    "shards": {
      "description": "The number of shards. Shards split your data across multiple pods so you can fit more data into an index.",
      "default": 1,
      "type": "integer",
      "format": "int32",
      "minimum": 1
    },
    "pod_type": {
      "description": "The type of pod to use. One of `s1`, `p1`, or `p2` appended with `.` and one of `x1`, `x2`, `x4`, or `x8`.",
      "default": "p1.x1",
      "type": "string"
    },
    "pods": {
      "example": 1,
      "description": "The number of pods to be used in the index. This should be equal to `shards` x `replicas`.'",
      "default": 1,
      "type": "integer",
      "minimum": 1
    },
    "metadata_config": {
      "example": {
        "indexed": [
          "genre",
          "title",
          "imdb_rating"
        ]
      },
      "description": "Configuration for the behavior of Pinecone's internal metadata index. By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed. These configurations are only valid for use with pod-based indexes.",
      "type": "object",
      "properties": {
        "indexed": {
          "description": "By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields that should be indexed.",
          "type": "array",
          "items": {
            "type": "string"
          }
        }
      }
    },
    "source_collection": {
      "example": "movie-embeddings",
      "description": "The name of the collection to be used as the source for the index.",
      "type": "string"
    }
  },
  "required": [
    "environment",
    "pod_type"
  ]
}

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