Here’s the translation to American English:
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Amazon Bedrock Knowledge Bases has taken a significant step in its evolution by adding support for managed clusters of Amazon OpenSearch Service. This update strengthens its role as a fully managed Retrieval-Augmented Generation (RAG) solution that aligns with current market needs.
The essential functionality of Amazon Bedrock Knowledge Bases enables a seamless connection between foundation models and internal data sources, automating key processes such as data ingestion, chunking, embedding generation, and vector storage. It employs advanced indexing algorithms and retrieval techniques, making it easier for users to develop intelligent applications with minimal effort.
With this new update, the options for vector storage are expanded. In addition to previously available stores like Amazon OpenSearch Serverless and Amazon Aurora PostgreSQL-Compatible Edition, the integration of OpenSearch Service in managed clusters now offers a robust choice for storing and retrieving vector embeddings. This provides greater flexibility and alternatives for managing vector databases.
OpenSearch Service offers two complementary deployment modes: managed clusters, which allow for flexible configuration and performance tuning, and serverless collections that are suited to situations with automatic scaling requirements. Managed clusters are ideal for organizations that need comprehensive control over their configurations and cost optimization, while OpenSearch Serverless facilitates operations without the need to manage clusters or nodes.
To ease the adoption of this new feature, a detailed guide has been provided, explaining everything from creating an OpenSearch domain to configuring a vector index and building a knowledge base in Amazon Bedrock. This documentation ensures that users can maximize the benefits of the integration, making their implementations more effective and efficient.
With these new capabilities, Amazon Bedrock Knowledge Bases establishes itself as a critical tool in the artificial intelligence landscape, enabling businesses to optimize their data and develop applications that respond effectively to the changing demands of the market.
via: MiMub in Spanish
