Neum (Independent Publisher) (Preview)

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	ttaylor@hitachisolutions.com

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.