REST Client

Datasphere

View as MarkdownOpen in Claude

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.

1from signalwire.rest import RestClient
2
3client = RestClient(
4    project="your-project-id",
5    token="your-api-token",
6    host="your-space.signalwire.com",
7)
8
9results = client.datasphere.documents.search(query_string="billing FAQ")
10for chunk in results.get("chunks", []):
11    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.