Documentation Index
Fetch the complete documentation index at: https://docs.lyzn.ai/llms.txt
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Vector DB Upsert
Store text documents in a vector database for semantic search
Properties
| Property | Value |
|---|
| Type | vector-db-upsert |
| Family | Actions |
| Group | Database |
Parameters
| Name | Label | Type | Description | Required |
|---|
| provider | Vector DB Provider | Select | Choose the vector database provider | Yes |
| documents | Documents | JSON | Array of documents to upsert. Each should have: id (string), text (string), optional metadata (object) | Yes |
Outputs
| Name | Label | Type | Description |
|---|
| upsertedCount | upsertedCount | number | Number of documents upserted |
| success | success | boolean | Whether the operation succeeded |
