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Neum (Independent Publisher) (Preview)

  • Reference

With Neum AI, your context in prompts is always accurate and up to date. It enables you to create a pipeline that keeps your data synced between a source (ex. Document DB) and a sink (ex. Pinecone).

This connector is available in the following products and regions:

Service Class Regions
Logic Apps Standard All Logic Apps regions except the following:
     -   Azure Government regions
     -   Azure China regions
     -   US Department of Defense (DoD)
Power Automate Premium All Power Automate regions except the following:
     -   US Government (GCC)
     -   US Government (GCC High)
     -   China Cloud operated by 21Vianet
     -   US Department of Defense (DoD)
Power Apps Premium All Power Apps regions except the following:
     -   US Government (GCC)
     -   US Government (GCC High)
     -   China Cloud operated by 21Vianet
     -   US Department of Defense (DoD)
Contact
Name Troy Taylor
URL https://www.hitachisolutions.com
Email [email protected]
Connector Metadata
Publisher Troy Taylor
Website https://www.neum.ai/
Privacy policy https://www.neum.ai/
Categories AI

Creating a connection

The connector supports the following authentication types:
Default Parameters for creating connection. All regions Not shareable

Default

Applicable: All regions

Parameters for creating connection.

This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.

Name Type Description Required
API Key securestring The API Key for this api True

Throttling Limits

Name Calls Renewal Period
API calls per connection 100 60 seconds

Actions

Create a pipeline

Creates a pipeline with an optional scheduled trigger.
Test pipeline

To test your new pipeline, Neum AI provides capabilities to quickly query the vector store that data is being pushed into. You can observe general information like the number of vectors in it as well as do quick queries using a provided text.

Create a pipeline

Operation ID:
PipelinePost

Creates a pipeline with an optional scheduled trigger.

Parameters

Name Key Required Type Description
Source
 source_name True string

The source name.
Connection String
 connection_string True string

The connection string.
Container
 container_name True string

The container name.
Name
 embed_name True string

The embed name.
API Key
 api_key True string

The API key.
Organization
 organization True string

The organization.
Sink Name
 sink_name True string

The sink name.
API Key
 api_key True string

The API key.
Environment
 environment True string

The environment.
Index
 index True string

The index.
Namespace
 namespace True string

The namespace.
Start Date
 start_date string

The start date.
Cadence
 cadence string

The cadence.

Returns

Name Path Type Description
ID
 id string

The identifier.
Name
 source.source_name string

The source name.
Name
 sink.sink_name string

The sink name.
Name
 embed.embed_name string

The embed name.
Created
 created float

When created.
Start Date
 trigger_schedule.start_date string

The start date.
Cadence
 trigger_schedule.cadence string

The cadence.

Test pipeline

Operation ID:
PipelineTestPost

To test your new pipeline, Neum AI provides capabilities to quickly query the vector store that data is being pushed into. You can observe general information like the number of vectors in it as well as do quick queries using a provided text.

Parameters

Name Key Required Type Description
Pipeline ID
 pipeline_id True string

The pipeline identifier.
Query
 query True string

The query.
Number Of Results
 number_of_results True integer

The number of results.

Returns

Name Path Type Description
Results
 results array of string

The results.