Vector Database actions

Services

Azure AI Search actions

• Azure AI Search: Count DocumentsCount the documents in an index. The count is eventually consistent: a just-finished upload can take a few seconds to show.
• Azure AI Search: Create or Update IndexCreate an Azure AI Search index from a full index definition (fields, vector search profiles, semantic configuration), or update it in place. Needs an admin API key.
• Azure AI Search: Delete DocumentsDelete documents from an index by key. Deleting a key that does not exist counts as success (the service treats it as already gone). Needs an admin API key.
• Azure AI Search: Delete IndexDelete an Azure AI Search index and every document in it. This cannot be undone. Needs an admin API key.
• Azure AI Search: Get DocumentLook up a single document in an index by its key. Optionally select specific fields to return.
• Azure AI Search: Get IndexFetch an Azure AI Search index definition: fields, vector search profiles, scoring profiles, and semantic configuration.

pgvector actions

• Count DocumentsCount the documents in the store, with an optional metadata filter
• Create Search IndexAdd an approximate-nearest-neighbour index so similarity search stays fast as the table grows
• Create Vector TableCreate a table that stores documents and their embeddings, with the index that makes search fast
• Delete DocumentsRemove documents by ID or by a metadata filter
• Get DocumentFetch a single document by its ID
• Hybrid SearchCombine meaning-based and keyword search, so exact terms and product codes are not missed