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To drive real AI-powered innovation, you need to deliver location data (and all enterprise data) where it’s needed – quickly, securely, and reliably. A modern integration strategy lets you design pipelines wherever your data resides – whether on-premises, in the cloud, or across hybrid environments.
Architecture layers The architecture consists of the following layers: Data acquisition layer – This foundation layer features specialized components for social media connectivity across channels like LinkedIn, Twitter, and YouTube, alongside sophisticated web scraping frameworks with rate limiting and randomization capabilities.
To drive real AI-powered innovation, you need to deliver location data (and all enterprise data) where it’s needed – quickly, securely, and reliably. A modern integration strategy lets you design pipelines wherever your data resides – whether on-premises, in the cloud, or across hybrid environments.
To drive real AI-powered innovation, you need to deliver location data (and all enterprise data) where it’s needed – quickly, securely, and reliably. A modern integration strategy lets you design pipelines wherever your data resides – whether on-premises, in the cloud, or across hybrid environments.
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During the embeddings experiment, the dataset was converted into embeddings, stored in a vector database, and then matched with the embeddings of the question to extract context. The generated query is then run against the database to fetch the relevant context. Based on the initial tests, this method showed great results.
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