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What are Namespaces?

Namespaces are isolated containers for storing and organizing your data in Moorcheh. They provide separate environments for your documents or vectors, ensuring data separation and enabling organized data management.
Each namespace can store either text documents or vector embeddings, but not both. Choose the type based on your use case.

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Namespace Types

  • Text Namespaces
  • Vector Namespaces

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Text Namespaces

Text namespaces automatically handle embedding generation. Simply upload your text, and Moorcheh takes care of the vectorization.Best for:
  • Document search
  • Knowledge bases
  • Content management
  • File uploads (PDF, DOCX, etc.)
Example:
# Create text namespace
client.create_namespace(
    namespace_name="my-documents",
    type="text"
)

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Creating a Namespace

from moorcheh_sdk import MoorchehClient

client = MoorchehClient(api_key="your-api-key")

# Text namespace
namespace = client.create_namespace(
    namespace_name="my-documents",
    type="text"
)

# Vector namespace with specific dimension
namespace = client.create_namespace(
    namespace_name="my-vectors",
    type="vector",
    vector_dimension=1536
)

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Listing Namespaces

# Get all namespaces
namespaces = client.list_namespaces()

for ns in namespaces:
    print(f"Name: {ns['namespace_name']}")
    print(f"Type: {ns['type']}")
    print(f"Items: {ns['item_count']}")

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Deleting a Namespace

Deleting a namespace is permanent and cannot be undone. All data in the namespace will be lost.
# Delete namespace
client.delete_namespace(namespace_name="my-documents")

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Naming Guidelines

Good namespace names:
  • product-docs
  • customer_support_v2
  • legal-contracts-2024
  • blog_embeddings
Avoid:
  • Special characters (except - and _)
  • Spaces
  • Very long names (> 64 characters)

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Next Steps

Upload Text

Learn how to upload text documents

Upload Vectors

Work with custom vector embeddings

Search

Perform semantic search

API Reference

Complete namespace API documentation