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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

With metadata filtering now available in Knowledge Bases for Amazon Bedrock, you can define and use metadata fields to filter the source data used for retrieving relevant context during RAG. Metadata filtering gives you more control over the RAG process for better results tailored to your specific use case needs.

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Accelerate AWS Well-Architected reviews with Generative AI

Flipboard

Metadata filtering is used to improve retrieval accuracy. To demonstrate how generative AI can accelerate AWS Well-Architected reviews, we have developed a Streamlit-based demo web application that serves as the front-end interface for initiating and managing the WAFR review process.

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AIs in India will need government permission before launching

AI News

It also mandates the labelling of deepfakes with permanent unique metadata or other identifiers to prevent misuse. It has been suggested that after compliance and application for permission to release a product, developers may be required to perform a demo for government officials or undergo stress testing.

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Achieve your AI goals with an open data lakehouse approach

IBM Journey to AI blog

Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data. Watsonx.data enables users to access all data through a single point of entry, with a shared metadata layer deployed across clouds and on-premises environments. All of this supports the use of AI.

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How to use audio data in LlamaIndex with Python

AssemblyAI

For this, we create a small demo application with an LLM-powered query engine that lets you load audio data and ask questions about your data. The metadata contains the full JSON response of our API with more meta information: print(docs[0].metadata) Getting Started Create a new virtual environment: # Mac/Linux: python3 -m venv venv.

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Your Black Friday observability checklist

IBM Journey to AI blog

Contextualizing telemetry data by visualizing the relevant information or metadata enables teams to better understand and interpret the data. Request a demo to learn more The post Your Black Friday observability checklist appeared first on IBM Blog. The most powerful use of data is the ability to contextualize.

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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

AWS Machine Learning Blog

For this demo, weve implemented metadata filtering to retrieve only the appropriate level of documents based on the users access level, further enhancing efficiency and security. The role information is also used to configure metadata filtering in the knowledge bases to generate relevant responses.