Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.
AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...
Hanshow has launched a multi-year research partnership with the University of Cambridge to develop next-generation Augmented RFID systems powered by distributed hardware architectures. The ...
Abstract: Large Language Models (LLMs) have transformed natural language processing by offering human-like responses. However, issues such as incorrect information (hallucinations) and errors in ...
Below are small examples and expected outputs to help you get started. Replace the commands with python if your environment maps python to Python 3. Run the app and check the start-up logs ...
Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains. Retrieval-augmented generation is ...
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Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment. RAG Mini Project — Retrieval ...
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