Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...
"I made internal documents searchable via RAG, but when I ask 'What problems have been recurring over the last six months?', it gives me irrelevant answers." If you have ever built a knowledge search ...
Microsoft is making publicly available a new technology called GraphRAG, which enables chatbots and answer engines to connect the dots across an entire dataset, outperforming standard ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...
Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...
While Retrieval-Augmented Generation (RAG) improves the accuracy and relevance of AI output by grounding responses in structured knowledge, it still treats that knowledge largely as disconnected ...
I am developing a system that allows AI to search through technical documents in the manufacturing industry.This is what is ...
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