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Getting Started with DataStax Astra DB and Amazon Bedrock

Blog post from DataStax

Post Details
Company
Date Published
Author
Kirsten Hunter
Word Count
842
Company Posts That Month
17
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 10 2,634 269 90 +49%
Real-time 3 2,676 681 199 -1%
LLM 2 3,222 391 126 +3%
RAG 2 1,169 164 57 +46%
AI Model Fine-tuning 1 604 122 56 +7%
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