DataStax Astra DB is a real-time vector database that can scale to billions of vectors, while Amazon Bedrock is a managed service offering foundation models via a single API. Together, they facilitate the creation of accurate, secure, and compliant generative AI applications. This post demonstrates how to create a simple question and answer system using Astra DB vector database, embeddings, and foundation models from Amazon Bedrock. The example uses Amazon Titan Embeddings and Anthropic Claude 2 model for the LLM. By combining Astra DB with Amazon Bedrock, developers can build applications that use retrieval augmented generation (RAG), FLARE, and model fine-tuning.