---
id: "aws-s3-vectors"
type: "component"
kind: "vector-database"
provider: "aws"
category: "data"
docs: "https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-vectors.html"
url: "https://localhost:3000/catalogue/components/aws-s3-vectors"
---

# Amazon S3 Vectors

S3 vector bucket that stores embeddings and answers similarity queries with filterable metadata.

| | |
|---|---|
| Provider | [aws](https://localhost:3000/catalogue?provider=aws) |
| Kind | [Vector database](https://localhost:3000/catalogue/kinds/vector-database) |
| Category | Data |
| Official docs | [https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-vectors.html](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-vectors.html) |

## Properties

| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| `blockPublicAccess` | boolean | — | no | true | inherited |
| `dataType` | enum | `float32` | no | "float32" | inherited |
| `dimensions` | integer | — | no | — | inherited |
| `distanceMetric` | enum | `cosine`, `euclidean`, `dot-product` | no | — | inherited |
| `encryptionType` | enum | `sse-s3`, `sse-kms` | no | "sse-s3" | inherited |
| `hybridSearch` | boolean | — | no | false | **false** |
| `indexType` | enum | `flat`, `hnsw`, `ivf`, `disk-ann`, `lsh` | no | — | inherited |
| `managed` | boolean | — | no | false | **true** |
| `maxDimensions` | integer | — | no | 4096 | inherited |
| `maxVectorsPerIndex` | integer | — | no | 2000000000 | inherited |
| `metadataFiltering` | boolean | — | no | false | **true** |
| `namespaces` | boolean | — | no | false | inherited |
| `quantization` | enum | `none`, `scalar`, `product`, `binary` | no | "none" | inherited |
| `replicas` | integer | — | no | — | inherited |

Bold values are the ones this component pins.

## Rules that apply · 0

No rule selects this kind or its category.

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- [Vertex AI Vector Search](https://localhost:3000/catalogue/components/google-vertex-ai-vector-search.md) `google-vertex-ai-vector-search` — gcp

## Use it in a design

```yaml
nodes:
  - { id: "aws-s3-vectors", component: "aws-s3-vectors" }
```

## Source (`component` YAML, verbatim)

```yaml
# yaml-language-server: $schema=../../schema/component.schema.json
# Amazon S3 Vectors vector bucket: S3 bucket type storing vector embeddings and answering similarity
# queries. "Working with S3 Vectors and vector buckets": strongly consistent writes, all metadata
# filterable by default, Block Public Access always on. "Limitations and restrictions": dimension 1-4096,
# up to 2 billion vectors per index, 10,000 indexes per bucket.
schemaVersion: "1"
type: "component"
id: "aws-s3-vectors"
kind: "vector-database"
provider: "aws"
docs: "https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-vectors.html"
defaults:
  metadataFiltering: true
  hybridSearch: false
  managed: true
properties:
  dataType:
    type: "enum"
    values: ["float32"]
    default: "float32"
  maxDimensions:
    type: "integer"
    default: 4096
  encryptionType:
    type: "enum"
    values: ["sse-s3", "sse-kms"]
    default: "sse-s3"
  blockPublicAccess:
    type: "boolean"
    default: true
  maxVectorsPerIndex:
    type: "integer"
    default: 2000000000
```

Human page: https://localhost:3000/catalogue/components/aws-s3-vectors