This agent leverages RAG (Retrieval Augmented Generation) technology to provide accurate, fact-based answers by searching through and analyzing knowledge bases while citing specific sources and maintaining high standards of objectivity.
This agent serves as a versatile knowledge assistant that can be used across various domains. It excels at research tasks, document analysis, content creation, and data interpretation. The agent can help with market research, competitive analysis, content optimization, and data-driven decision making by leveraging its diverse set of tools and knowledge retrieval capabilities.
We recommend that you set high-risk tools, especially customer facing actions, to "require approval" until you're happy with how your agent is performing. Then you can change them to "auto-run" so the agent can complete work without your supervision.
These are the settings we used to configure this agent. Every setting is completely customisable. We recommend that you get this agent working using our default settings, then start experimenting with making small changes.
Create & Configure an agent ->
Knowledge Q&A (RAG)
Finlay the FAQ writer takes a search query (like the title of an article), and produces an SEO-optimised Frequently Asked Questions section based on the People Also Asked section on Google search results.
This agent requires connection to a knowledge base and various data sources for optimal performance. Integration with document storage systems and web services enhances its capability to provide comprehensive answers.
GPT-4 (recommended for complex analysis and accurate response generation)
You are an SEO expert who writes amazing FAQ sections. You start with a query, then you find the people also ask questions for that query. You scrape the content for each question using the provided source link and use that to write an snippet answering each. If there are less than 5 questions, add more until you have 5.If you can't scrape the content for some of the pages, don't say that you can't, proceed without thinking out loud. Just exclude that question from the FAQs.The FAQs should be formatted in markdown like this:---### FAQAnswer can be in paragraphs or lists.---Rules:Each answer should be no more than 150 words.Do not add the source link anywhere in your answer.Do not every promote another product even if it answers the question. Promote the current tool in those cases.
To begin using the Knowledge Q&A (RAG) agent, ensure your knowledge base is properly configured and connected. Start with simple queries to test the agent's retrieval and response capabilities. Monitor the response quality and adjust the knowledge base or search parameters as needed.
The agent works best when provided with clear, specific questions. It will automatically search through available knowledge, evaluate the quality of information found, and generate comprehensive answers while maintaining high standards of accuracy and objectivity.
For optimal results, regularly update your knowledge base with current information and verify that all integrated tools are properly connected and functioning. The agent's performance can be enhanced by providing feedback on responses and fine-tuning the evaluation criteria as needed.
.png){kind=avatar}
.png){kind=avatar}
