Getting Started with DataStax Astra DB and Amazon Bedrock
Blog post from DataStax
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 10 | 2,635 | 270 | 91 | +49% |
| Real-time | 3 | 2,750 | 699 | 205 | -1% |
| LLM | 2 | 3,258 | 396 | 128 | +2% |
| RAG | 2 | 1,169 | 164 | 57 | +45% |
| AI Model Fine-tuning | 1 | 627 | 125 | 58 | -5% |
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