Customers across all industries are experimenting with generative AI to accelerate and improve business outcomes. Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions… Article Source https://aws.amazon.com/blogs/machine-learning/dive-deep-into-vector-data-stores-using-amazon-bedrock-knowledge-bases/
Amazon MemoryDB has now introduced Vector Search, a new feature that allows users to store, index, retrieve, and search vectors for real-time machine learning and generative artificial intelligence applications. This new capability offers the fastest vector search performance with high recall rates among popular vector databases on AWS. Users can store application data and millions … Read more
Best Buy is offering the MSI Vector GP68HX i9/4090/32GB/2TB Gaming Laptop for $2,399.99, including shipping. This laptop, usually priced at $3,200, had a significant price drop last month to $2,600. The current deal reduces the price by $200, making it the lowest price observed so far. In comparison, the same laptop is available on Amazon … Read more
Amazon announced that Knowledge Bases for Amazon Bedrock are now generally available as of November 2023. This feature allows users to maximize Retrieval Augmented Generation (RAG) by integrating their company data into the language model’s generation process. By incorporating unique data sources, organizations can enhance the relevance, accuracy, and contextual awareness of the language model’s … Read more
Oracle announced the release of HeatWave GenAI, featuring the industry’s first in-database large language models (LLMs), automated in-database vector store, scalable vector processing, and the ability to have natural language conversations based on unstructured content. These new features allow customers to leverage generative AI on their enterprise data without the need for AI expertise or … Read more
Oracle recently announced the availability of HeatWave GenAI, offering customers the ability to build generative AI applications without requiring AI expertise, data movement, or extra costs. The new features include the industry’s first database large language models, an automated database vector warehouse, scalable vector processing, and contextual natural language conversations. HeatWave GenAI enables developers to … Read more
Oracle has introduced a new innovation called HeatWave GenAI, the industry’s first database LLMs and automated vector warehouse in databases. This technology allows enterprise customers to utilize generative AI capabilities directly within Oracle databases without requiring AI expertise, data migration, or extra costs. HeatWave GenAI is being touted as surpassing competitors such as Snowflake, Google … Read more
Oracle has introduced HeatWave GenAI, a new tool that allows customers to build generative AI applications without the need for AI expertise, data movement, or additional costs. This includes Large Language Models (LLMs) within the database, scalable vector processing, and natural language conversations based on unstructured data. With HeatWave GenAI, developers can create a vector … Read more
Oracle introduced HeatWave GenAI, allowing customers to create generative AI applications without AI expertise. HeatWave GenAI is faster than competitors such as Snowflake, Google BigQuery, and Databricks for vector processing. This tool includes in-database large language models, automated vector storage, scalable vector processing, and natural language conversations. Customers can use HeatWave GenAI without moving data … Read more
Oracle is expanding its HeatWave cloud database service with a suite of new generative AI services called HeatWave GenAI. This platform, previously known as MySQL HeatWave, offers an extended, cloud-managed version of the MySQL database with transactional and analytical capabilities. Last year, Oracle introduced the HeatWave Lake House to provide data lake house functionalities. HeatWave … Read more