Docling is a document processing and parsing tool, created by IBM Research, and open sourced under the Linux Foundation. It was designed to convert unstructured documents into clean, readable data for AI-based workflows. We also offer Docling for IBM watsonx as a managed service, which...
Introduction In a new and exciting development, users of IBM watsonx.data (on AWS) can n ow manage their DataStax Astra DB instances from within the watsonx.data dashboard! Here, we will take a look at this new functionality...
Introduction In recent years, enterprises have increased their use of the Go language. Likewise, there have been an increasing number of enterprise Go applic ations which use the Apache Cassandra® database. At DataStax (an IBM company), we noticed that a...
Introduction While distributed databases like Apache Cassandra® have been around for several years, they haven’t always been easy to work with . Although d eploying and maintaining Cassandra has been greatly simplified with the...
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DataStax 製品が IBM のポートフォリオに加わったことを受け、 Astra DB × Langflow × watsonx.ai を組み合わせたノーコード RAG アプリケーションの構築手順をまとめました。 Qiita 記事： Astra DB × Langflow × watsonx.ai：ノーコードでRAGアプリを構築してみた DataStax Astra には無料プランが用意されており、検証や学習用途でも気軽に試すことができます。本記事でも、この無料プランを活用しています。 また、生成 AI サービスとして watsonx.ai...
Introduction One of the many possible use s for AI is with a recommendation system. For this article, we will discuss building a recommendation system for the “ KillrVideo ” video streaming service . In such systems, vector embed ...
This Astra Supplement (“Supplement”) applies to any use of DataStax Astra, and any other Cloud Services provided by DataStax, including DataStax Astra DB, DataStax Astra Streaming, or CDC for Astra DB. This Supplement and any applicable Order Schedule, entered into by Customer for the use of...
Monthly Service Level Agreement and Service Credits This Service Level Agreement (“SLA”) is applicable to the paid use of DataStax Cloud Services as defined in DataStax’s Master Services Agreement and Astra Supplement (“Agreement”). In the event DataStax does not meet the Service...