Vector store record delete Node

Overview

The Vector Store Record Delete Node enables deletion of records from a vector store collection based on specified criteria. This node supports multiple vector store providers and offers flexible deletion conditions through filtering expressions.

⚠️ The pinecone vector store doesn't support record deletion based on filters on severless mode.

Usage cost: 1 credit

Configuration

Settings

1. Collection Mode

   • Use Existing Collection: Delete from a predefined collection

   • Custom Configuration: Specify custom collection details

2. Collection Settings (based on mode)

   • Existing Collection Mode:

     • Vector Store Collection*: Select from available collections

   • Custom Configuration Mode:

     • Knowledge Source*: Select vector store provider

     • Collection Name*: Name of the collection to delete from

3. Deletion Configuration

   • Deletion Condition*: Filter expression to identify records for deletion (depends on vector store provider, see below for more informations)

   • Continue on Failure: Toggle to control flow behavior on errors

Output Ports

• success (boolean): Indicates if deletion was successful

• error_message (string, optional): Error details if deletion failed

Filtering example depending on vector store

Milvus/Zilliz

metadata["field"] == "value"

Qdrant

{
  "must": [
    {"key": "metadata.field", "match": {"value": "exact_match"}}
  ]
}

Chroma

{
  "field": {"$eq": "value"}
}

Pinecone

{
  "field": {"$eq": "value"}
}

Best Practices

1. Filtering Expressions

   • Use precise conditions to avoid unintended deletions

   • Test filters on small datasets first

   • Follow vector store-specific syntax guidelines

   • Use variables for dynamic filtering

2. Error Handling

   • Enable "Continue on Failure" for non-critical deletions

   • Plan for partial deletion scenarios

Common Issues

• Invalid filter syntax

• Permission-related failures

• Connection timeouts during large deletions

Vector Store Filter Documentation

Each vector store has its own filtering syntax. Refer to the respective documentation:

For vector store specific filter syntax, refer to:

• Milvus: Filtering Documentation
• Zilliz: Filtering Documentation
• Qdrant: Filtering Documentation
• Chroma: Where Filters Documentation
• Pinecone: Metadata Filtering Guide