GoodMem integration
Store documents as memories with vector embeddings and perform similarity-based semantic retrieval using GoodMem.
Build it by describing it
Type a sentence like this and the copilot builds, validates and simulates the workflow.- Simulated before it goes live
- Fixes proposed when something breaks
- One credit per run
Actions
Then Calibra can do this for you- DOCreate Space
Create a new space or reuse an existing one. A space is a logical container for organizing related memories, configured with embedders that convert text to vector embeddings.
- DOCreate Memory
Store a document as a new memory in a space. The memory is processed asynchronously - chunked into searchable pieces and embedded into vectors. Accepts a file or plain text.
- DORetrieve Memories
Perform similarity-based semantic retrieval across one or more spaces. Returns matching chunks ranked by relevance, with optional full memory definitions.
- DOGet Memory
Fetch a specific memory record by its ID, including metadata, processing status, and optionally the original content.
- DODelete Memory
Permanently delete a memory and its associated chunks and vector embeddings.
Questions
Is the GoodMem integration free?
Yes. GoodMem is available on every Calibra plan, including the free plan, which needs no card.
How is GoodMem usage billed?
Calibra charges one credit per workflow run, however many steps it has. Steps that read from or write to this app do not cost extra.
Can I connect GoodMem without writing code?
Yes. Describe the process in plain words and the AI copilot builds the workflow with GoodMem for you. You can also use templates or the visual editor.
Describe your first process. Watch it run today.
Free plan, no card. One credit per run, however many steps it has.