Search Ideas for MiniMax M2 with Amazon Bedrock

Ready for the "max" on search? Then MiniMax M2 on Bedrock is a practical option for Search workflows in Osirus AI. This model can be integrated into Osirus workflows for iterative prompt development and app-specific automation.

What you can build with this model

• Answer synthesis flows that produce short executive summaries plus detail blocks.
• Competitive monitoring briefs generated from recurring search snapshots.
• Grounded research workflows that blend internal docs with web context.

Why this model is a good fit

• Supports rapid testing of prompt strategy and output structure.
• Useful for turning manual team workflows into reusable AI runbooks.
• Flexible for prototype-to-production iteration loops.
• Strong fit for retrieval synthesis and decision-support style responses.
• Model outputs include: Text.

Build flow in Osirus UI

1. Open /search in Osirus and select MiniMax M2 from Bedrock.
2. Define retrieval scope (docs, web, or blended) before prompt tuning.
3. Add a query-rewrite stage for better recall and cleaner evidence.
4. Force answer sections for findings, evidence, and unresolved questions.
5. Save the final workflow as a repeatable pattern for your team.

Starter prompts

• Rewrite this user query into five focused search queries for deeper retrieval coverage.
• Given these retrieved passages, produce an answer with assumptions, evidence, and confidence level.
• Create an executive summary from search results with one-paragraph recommendations.

Production checklist

• Evaluate outputs against completeness and contradiction metrics.
• Add source freshness expectations for time-sensitive topics.
• Enforce citation rules for high-stakes summaries.
• Separate retrieval quality checks from answer quality checks.
• Define quality criteria early and evaluate outputs against those criteria.

Open this model in Osirus and turn one of these ideas into a reusable team workflow.