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aws_bedrock_embeddings

Computes vector embeddings on text, using the AWS Bedrock API.

# Common config fields, showing default values
pipeline:
  processors:
    - label: ""
      aws_bedrock_embeddings:
        model: "" # No default (required)
        text: "" # No default (optional)
        input_type: "" # No default (optional)

This processor sends text to your chosen large language model (LLM) and computes vector embeddings, using the AWS Bedrock API. For more information, see the AWS Bedrock documentation.

Examples​

Store embedding vectors in Clickhouse​

Compute embeddings for some generated data and store it within Clickhouse

input:
  generate:
    interval: 1s
    mapping: |
      root = {"text": fake("paragraph")}
pipeline:
  processors:
  - branch:
      request_map: |
        root = this.text
      processors:
      - aws_bedrock_embeddings:
          model: amazon.titan-embed-text-v1
      result_map: |
        root.embeddings = this
output:
  sql_insert:
    driver: clickhouse
    dsn: "clickhouse://localhost:9000"
    table: searchable_text
    columns: ["id", "text", "vector"]
    args_mapping: "root = [uuid_v4(), this.text, this.embeddings]"

Fields​

region​

The AWS region to target.

Type: string

endpoint​

Allows you to specify a custom endpoint for the AWS API.

Type: string

tcp​

TCP socket configuration.

Type: object

tcp.connect_timeout​

Maximum amount of time a dial will wait for a connect to complete. Zero disables.

Type: string
Default: "0s"

tcp.keep_alive​

TCP keep-alive probe configuration.

Type: object

tcp.keep_alive.idle​

Duration the connection must be idle before sending the first keep-alive probe. Zero defaults to 15s. Negative values disable keep-alive probes.

Type: string
Default: "15s"

tcp.keep_alive.interval​

Duration between keep-alive probes. Zero defaults to 15s.

Type: string
Default: "15s"

tcp.keep_alive.count​

Maximum unanswered keep-alive probes before dropping the connection. Zero defaults to 9.

Type: int
Default: 9

tcp.tcp_user_timeout​

Maximum time to wait for acknowledgment of transmitted data before killing the connection. Linux-only (kernel 2.6.37+), ignored on other platforms. When enabled, keep_alive.idle must be greater than this value per RFC 5482. Zero disables.

Type: string
Default: "0s"

credentials​

Optional manual configuration of AWS credentials to use. More information can be found in this document.

Type: object

credentials.profile​

A profile from ~/.aws/credentials to use.

Type: string

credentials.id​

The ID of credentials to use.

Type: string

credentials.secret​

The secret for the credentials being used.

Secret

This field contains sensitive information. Use a secret reference rather than a literal value.

Type: string

credentials.token​

The token for the credentials being used, required when using short term credentials.

Secret

This field contains sensitive information. Use a secret reference rather than a literal value.

Type: string

credentials.from_ec2_role​

Use the credentials of a host EC2 machine configured to assume an IAM role associated with the instance.

Type: bool

credentials.role​

A role ARN to assume.

Type: string

credentials.role_external_id​

An external ID to provide when assuming a role.

Type: string

model​

The model ID to use. For a full list see the AWS Bedrock documentation.

Type: string

text​

The prompt you want to generate a response for. By default, the processor submits the entire payload as a string.

Type: string

input_type​

Specifies the type of input passed to the model. Required by Cohere embedding models; ignored by Amazon Titan models.

Type: string

OptionSummary
classificationUsed for embeddings passed through a text classifier.
clusteringUsed for the embeddings run through a clustering algorithm.
search_documentUsed for embeddings stored in a vector database for search use-cases.
search_queryUsed for embeddings of search queries run against a vector DB to find relevant documents.