Open Semantic Search Demo. Sensefy DEMO Sensefy is an open source enterprise semantic search framework developed by Zaizi It aims to provide federated search with intelligent semantic search features enabling the knowledge workers in the enterprise to find their documents and content efficiently and effectively By leveraging MICO technology Sensefy now supports Cross Media Semantic.
With Qdrant and a pretrained neural network you can build and deploy semantic neural search on your data in minutes! Check out our demo Compare the results of a semantic search based on a pretrained transformer NN and a regular fulltext search.
Open Semantic Framework Wikipedia
Semantic Search Setup Running the pipeline end to end Usage Using pretrained models for image search Search for a similar image to an input image Training a custom model to map images to words Index your images Search for an image using image Search for an image using words Running the demo Creating a custom dataset.
GitHub deepsetai/haystack: Haystack is an open source
It uses many processor ressources and will need many seconds for each graphic file Enable OCR (OCR is enabled by default in the virtual machine packages like Open Semantic Desktop Search or Open Semantic Search Appliance) Install the package tesseractocr (included in your Linux distribution) aptget install tesseractocr.
Sensefy DEMO – Mico Project
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About Open Semantic Search
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When we use semantic search we can immediately understand the intent behind our customers and provide significantly improved search results that can drive deeper customer engagement This can be essential in many different sectors but – here at WordLift – we are particularly interested in applying these technologies to travel brands ecommerce and online publishers .