The last step of a healthy RAG pipeline is maintaining, testing, and validating your knowledge base. This process helps ensure your data stays accurate and relevant over time, and it gives you confidence that your agent will retrieve the right information when it’s needed.

Keeping your database up-to-date in Botpress is as easy as swapping out old files for new ones. Your old files are automatically removed from your agent’s knowledge base, and your new files are automatically included. For documents that change frequently, consider automating the syncing process with Botpress using the dedicated File API, which saves time and reduces the risk of outdated content slipping through.

Next, regular audits are crucial. Periodically review your knowledge base to remove any outdated or irrelevant information. This keeps the knowledge base streamlined and makes sure that your agent won’t retrieve outdated or irrelevant answers.

Once your data’s up to date, it’s time to test and validate your knowledge base. After uploading content, run some initial test queries to see how well your agent retrieves and responds with relevant information. Start with common or anticipated questions to get a sense of your agent’s accuracy and reliability.

There’s a ton of helpful information in your event debugger, production logs, and even in the emulator, so you can get a clear picture of what information your agent is going to prioritize.

And finally, gather feedback. Whether it’s from internal users or customers, feedback is invaluable for spotting areas that need improvement. Use this feedback to make adjustments to document formatting or to add more context where needed. Regular testing and feedback ensure your knowledge base continues to perform accurately and meets the evolving needs of your users.

By combining these practices—version control, regular audits, and continuous testing—you’ll maintain a knowledge base that’s accurate, current, and well-equipped to support AI-driven conversations.