Tutorial
Rank and fuse multiple model outputs
Generate a few candidate answers, rank them, then fuse the best parts. Use this when quality matters more than speed.
Before you start
Estimated time: 5 min
- An LLMWeave account
- Finished the consensus draft tutorial
Pick the rank-and-fuse template
1 minStart a New Weave with the rank-and-fuse template. It generates multiple candidates, scores them, and fuses the top results.
Tune the candidate set
2 minDecide how many candidates and which models generate them. A wider set costs more but gives the ranking step more to work with.
Run and inspect the ranking
3 to 6 minThe weave ranks candidates and fuses the strongest into one answer. The intermediate work is preserved so you can see why the final result was chosen.
Keep going
Build a consensus draft that merges multiple models
Use the Consensus Draft pattern when you want one clean answer, not a pile of model replies to sort through by hand.
Intermediate · 4 minGround a weave in current sources with web search
Turn on web search when the answer depends on today’s facts: prices, product pages, news, docs, or anything else that can go stale.