Couchbase brings SQL++, document storage and vector search to ActivePieces AI Automations
Blog post from Couchbase
Activepieces is an AI automation system enhanced by a type-safe framework in TypeScript, which now includes a Couchbase connector to facilitate operations on data within Couchbase clusters, including those hosted on Couchbase Capella. The integration allows users to perform actions such as inserting, upserting, retrieving, and deleting documents, as well as executing SQL++ queries on Couchbase clusters through an intuitive process builder interface. Users can configure Couchbase connections by providing credentials and selecting specific buckets and scopes for querying, supporting both static and dynamic argument values, as well as vector search and ordering functionalities. The system's features are well-documented, with a free public testing instance available for users to experiment with the Couchbase integration, and feedback is encouraged through the project's GitHub repository.
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