Building a Custom Knowledge Base with Amazon Bedrock - Part 3
Key takeaways
- Proper IAM permissions are a key part of any AWS project (and they take time to do right)
- In some cases, manual setup may be easier, but if you're deploying in prod, code is always best
- Always double-check API action names in IAM policies
In this episode, we continued working on deploying an Amazon Bedrock knowledge base using CloudFormation. The stream began with a recap of previous work and recent updates. We dove into the challenges of creating an OpenSearch index and configuring proper IAM permissions for S3 access.
We encountered several hurdles, particularly with IAM policies, showcasing the often complex nature of cloud development. We solved each issue through persistent debugging, careful examination of AWS documentation, and even leveraging AI assistance. The ‘break-through’ moment came when we discovered a simple yet crucial error in our IAM policy - using “ListObject” instead of “ListBucket.” This underscored the importance of attention to detail in cloud configurations.
Finally, we successfully uploaded and synced our blog post content to the knowledge base, demonstrating its functionality with sample queries. The stream not only achieved its technical goal but also provided valuable insights into real-world AWS troubleshooting and the power of persistence in overcoming cloud development challenges.
Other streams in this series include: