Brave Search research brief
Use “Brave Search research brief” in Recued. It provides a read-only Brave Search workflow for combining web results and LLM-ready grounding context for an explicit research query.
How it works
Inspect the data fetches, transforms, gates, and output this recipe runs.
Process (10 steps)
web
recued-core.brave-search.web.search
Search web on brave search
llm_context
recued-core.brave-search.llm_context.search
Search llm context on brave search
defaults
defaults
Apply defaults
web_rows
slice
Take a subset of
web_count
count
Count items in web results
news_count
count
Count items in news results
video_count
count
Count items in video results
summarize
core.ai.summarize
AI generates a concise summary
web_table
to_table
Format results as a data table
card
to_summary
Format results as a summary card
▼
Output
summary
card
table
web_table
Settings
Configurable at install. Defaults shown — change them anytime in Recued.
count
setting
=
10
focus
setting
=
Summarize the strongest web results and LLM context for a research user. Call out useful sources, stale or thin evidence, and follow-up searches. Do not invent facts outside the Brave Search responses.
query
setting
=
[object Object]
country
setting
=
US
freshness
setting
=
row limit
setting
=
10
max length
setting
=
900
search lang
setting
=
en
context urls
setting
=
8
context tokens
setting
=
8192
Uses (3 operations)
Pack operation
Search web on brave search
recued-core.brave-search.web.search
Pack operation
Search llm context on brave search
recued-core.brave-search.llm_context.search
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.