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Vector Database integrations

Vector stores an agent can query and update for semantic search, retrieval and embedding-backed workflows.

ModuleX connects 4 Vector Database integrations and lets an agent run any of their 29 actions from a plain-English request. Ask for an outcome across queries, records and collections, the agent picks the right action, or the composer assembles a repeatable workflow from a description. No pre-built flow is required.

What agents automate here

  • Query queriesquery
  • Find recordssearch_records
  • List, create and remove collectionslist_collectionscreate_collectiondelete_collection
  • Pull up collection infosget_collection_info
  • List, create and remove classeslist_classescreate_classdelete_class
  • Pull up class statsget_class_stats

Vector Database integrations FAQ

  • Vector stores an agent can query and update for semantic search, retrieval and embedding-backed workflows. A ModuleX agent drives them from a plain-English request, across queries, records, collections and collection infos, and no pre-built workflow is required: it picks the right action for the task, or the composer assembles a repeatable workflow from a description.

Put your Vector Database stack to work.

Connect 4 Vector Database integrations and run 29 actions from plain English, using your organization’s own credentials.

Last updated: Jul 2026 · 179 integrations in the catalog