> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cyborg.co/llms.txt
> Use this file to discover all available pages before exploring further.

# List IDs

Lists all vector IDs currently stored in the encrypted index.

```python theme={null}
index.list_ids()
```

### Returns

`List[str]` - List of all vector IDs currently stored in the index

### Exceptions

<AccordionGroup>
  <Accordion title="Error">
    * Throws if the API request fails due to network connectivity issues.
    * Throws if authentication fails (invalid API key).
    * Throws if the encryption key is invalid for the specified index.
    * Throws if the index was not created or loaded yet.
    * Throws if an error occurs during retrieval.
  </Accordion>
</AccordionGroup>

### Example Usage

```python theme={null}
# Get all IDs in the index
all_ids = index.list_ids()
print(f"Total items in index: {len(all_ids)}")

# Print first 10 IDs
for id in all_ids[:10]:
    print(f"ID: {id}")

# Check if a specific ID exists
target_id = "document_123"
if target_id in all_ids:
    print(f"Document {target_id} exists in the index")
else:
    print(f"Document {target_id} not found")

# Use for batch processing
batch_size = 100
for i in range(0, len(all_ids), batch_size):
    batch_ids = all_ids[i:i+batch_size]
    # Process batch of documents
    items = index.get(batch_ids)
    # ... process items ...
```