Follow these best practices to help users craft clear and retrievable queries when using Reka Research. Well-structured prompts improve result quality and reduce unnecessary searches.
Generate precise and scoped prompts in your application. Reka Research performs best when queries are explicit and to the point.
✅ Do: “Summarize key points from the 2024 WHO guidelines on pandemic preparedness.”
🚫 Avoid: “Tell me about health guidelines”
Encourage users to include contextual details like dates, locations, or named entities. These cues significantly improve the accuracy of retrieved results.
✅ Do: “How did the 2023 California drought impact almond crop yields?”
🚫 Avoid: “How did the drought affect crops?”
Structure queries using domain-relevant terms that are likely to appear in source documents. Avoid vague or comparative phrasing.
✅ Do: “Compare lithium iron phosphate vs. nickel manganese cobalt batteries for EV performance”
🚫 Avoid: “Which battery is better?”
Split unrelated or multi-part questions into separate queries. Clear, single-purpose requests yield better search outcomes.
✅ Do: “Explain how quantum entanglement affects secure communication protocols”
🚫 Avoid: “Tell me about quantum computing, space travel, and AI breakthroughs”
Avoid prompts that mimic LLM roleplay or personas. Instead, encourage users to ask direct questions or request specific outputs.
✅ Do: “Give a step-by-step tutorial for setting up a PostgreSQL read replica on AWS RDS”
🚫 Avoid: “Act as a database expert and walk me through PostgreSQL replication like I’m five”
Specify the number of results you want to retrieve. This helps ensure you get enough information without overwhelming the user.
✅ Do: “What are the top 5 trends in renewable energy for 2025?”
🚫 Avoid: “What’s new in renewable energy?”
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