AI - Vector Context Remove

Type identifier: ai:vectorContext:remove Category: AI Operations

Description

The AI - Vector Context Remove node deletes embeddings from a vector context. It can remove specific embeddings by ID or remove all embeddings matching certain label criteria.

Input Handles

Output Handles

Configuration Options

Behaviour

1. Receives removal criteria (ID, labels, or both)
2. Identifies embeddings matching the criteria
3. Removes matching embeddings from vector context
4. Triggers success or error control flow

Removal Modes

By ID:

• Removes the specific embedding with the given ID
• Exact match required

By Labels:

• When labels are configured, removes embeddings matching label values
• All specified labels must match

Use Cases

• Delete outdated document embeddings when content is updated
• Clear embeddings for a specific category or source
• Remove test data from production vector context

Examples

Remove Specific Embedding

Input:

• id: "doc-123-chunk-5"

Removes the single embedding with that ID.

Remove All Document Chunks

Configuration:

• Labels: ["documentId"]

Input:

• documentId: "doc-123"

Removes all embeddings with that document ID label.

Re-index Document Flow

Flow:

1. AI - Vector Context Remove (by documentId)
2. Text - Recursive Split (new content)
3. List - Map with AI - Vector Context Add

Use case: Update indexed content when a document changes.

Cleanup by Category

Configuration:

• Labels: ["category", "status"]

Use case: Remove all "draft" content from a specific category.