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SliceX AI models can unlock rich semantic structure in your text data, using state-of-the-art representations to enable query-context based analyses.
Question Answering
The Question Answering API performs retrieval based question answering. You can use it to train a model on your own index of documents. Once trained, enter your custom query and have your model return the most relevant documents! Check out this tutorial to build a custom Q&A model using a SliceX AI pretrained model on a specific database. The models section lists more information about the corresponding SliceX AI model family.
Additionally- for faster and cheaper training jobs, you can also use your previously trained Q&A models on a new index of documents. Your custom trained SliceX AI model will simply generate embeddings corresponding to the new index.
As a pretrained inference API, the SliceX AI™ Cloud Platform gives access to the Research Papers Search API that allows you to search recent research papers from ArxiV. Enter your query and it will return the most relevant papers!
Semantic Search
Go one step further to perform semantic search and intelligently query for responses drawn from your index of documents. Get the best answers to your questions or retrieve the most relevant text passages by training a custom semantic search model on any corpus of text.
Check out this tutorial to build a custom semantic search application using a SliceX AI pretrained model on a specific database.
The Question Answering API is only available for higher subscription tiers. Please refer to the Pricing section for more information.
Example Use Cases
Question Answering
- Research papers search assistant
- Database search assistant
- Library cataloguer assistant
- Word embeddings extraction
Semantic Search
- Pharmaceutical database assistant
- Research database assistant