Cohere embedding readiness brief
Use “Cohere embedding readiness brief” in Recued. It provides a read-only Cohere embedding workflow.
How it works
Inspect the data fetches, transforms, gates, and output this recipe runs.
Process (7 steps)
models_raw
recued-core.cohere.model.search
Search model on cohere
embed
recued-core.cohere.embed.create
Create embed on cohere
models
default
Apply default
model_count
count
Count items in models
summarize
core.ai.summarize
AI generates a concise summary
model_table
to_table
Format results as a data table
card
to_summary
Format results as a summary card
▼
Output
summary
card
table
model_table
Settings
Configurable at install. Defaults shown — change them anytime in Recued.
focus
setting
=
Summarize whether the chosen Cohere embedding setup is ready for semantic search or RAG. Cover returned model options, embedding metadata, dimensions or output types visible in the response, warnings, and practical next steps.
texts
setting
=
[object Object]
truncate
setting
=
END
input type
setting
=
search_document
max length
setting
=
900
embed model
setting
=
embed-v4.0
embedding types
setting
=
float
model page size
setting
=
20
output dimension
setting
=
1536
Uses (3 operations)
Pack operation
Search model on cohere
recued-core.cohere.model.search
Pack operation
Create embed on cohere
recued-core.cohere.embed.create
AI models
AI generates a concise summary
core.ai.summarize
Trust & control
What installing this recipe would let it do. Recued grants these permissions at install — review them there before approving.
Permissions it requires
Declared by the recipe — Recued grants these at install, where you review them before approving.What it's allowed to do
Read
AI models
core.ai.summarize
read-only
2 more aren't listed here. You'll see them at install.