Solutions for optimizing Exa API search results
The following specific measures can be taken to address the accuracy and timeliness of real-time Web search results:
- Setting search parameters wisely: The Exa API supports the configuration of multiple search parameters, for example:
- Enabling automatic query optimization with `use_autoprompt=true`
- Setting `num_results` controls the number of results returned.
- Limit the latest timeframe by `start_published_date`.
- Optimizing Query Statements::
- Use specific and clear keywords rather than vague expressions
- For complex queries a step-by-step search strategy can be used
- Adding qualifiers to search terms to improve accuracy
- Combining Deepseek R1 model for result screening::
- Letting Language Models Evaluate the Relevance of Raw Search Results
- Use the model to extract key information and summaries
- Cross-validation of contradictory information
By applying a combination of these methods, the timeliness and accuracy of search results can be significantly improved.
This answer comes from the articleExa & Deepseek Chat App: Open Source Chat App for Real-Time Web Search and Intelligent ReasoningThe
May not be reproduced without permission:AI productivity tools " How to solve the problem that real-time Web search results are not accurate and timely enough?
