REST Client

Datasphere

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Manage documents and perform semantic search via the Datasphere API. Documents are stored with vector embeddings, enabling natural-language search across your knowledge base. The documents sub-resource provides full CRUD plus search and chunk-level operations.

Access via client.datasphere.documents on a RestClient instance.

from signalwire.rest import RestClient
client = RestClient(
    project="your-project-id",
    token="your-api-token",
    host="your-space.signalwire.com",
)
results = client.datasphere.documents.search(query_string="billing FAQ")
for chunk in results.get("chunks", []):
    print(chunk.get("text"), "score:", chunk.get("score"))

Methods

list

List documents in the project.

create

Upload a new document.

get

Retrieve a specific document.

update

Update a document.

delete

Delete a document and all its chunks.

search

Perform a semantic search across all documents.

list_chunks

List chunks belonging to a document.

get_chunk

Retrieve a specific chunk from a document.

delete_chunk

Delete a specific chunk from a document.