Together AI RAG relevance brief
Use “Together AI RAG relevance brief” in Recued. It provides a read-only Together AI RAG preparation workflow.
How it works
Inspect the data fetches, transforms, gates, and output this recipe runs.
Process (8 steps)
embedding
?
rerank
?
defaults
defaults
Apply defaults
result_count
count
Count items in results
embedding_count
count
Count items in embedding rows
summarize
?
rerank_table
to_table
Format results as a data table
card
to_summary
Format results as a summary card
Settings
Configurable at install. Defaults shown — change them anytime in Recued.
focus
setting
=
Summarize reranked relevance, likely best source documents, gaps, ambiguity, and whether the document set is ready for RAG grounding.
query
setting
=
[object Object]
top n
setting
=
5
documents
setting
=
[object Object]
max length
setting
=
800
togetherai
setting
=
rerank model
setting
=
Salesforce/Llama-Rank-v1
embedding model
setting
=
togethercomputer/m2-bert-80M-8k-retrieval
Trust & control
What installing this recipe would let it do. Recued grants these permissions at install — review them there before approving.