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The Isaacus API supports a wide range of information retrieval, extraction, and classification tasks, including:
  • Enrichment: transforming unstructured documents into rich, structured, hierarchical knowledge graphs representing key sections, concepts, entities, and their relationships to one another.
  • Embedding: transforming queries and documents into highly compressed, high fidelity numerical representations to power semantic search, text classification, and clustering.
  • Reranking: scoring and sorting documents based on their relevance to search queries.
  • Extractive question answering: extracting answers to questions from documents with high precision and throughput.
  • Universal classification: classifying and extracting clauses from documents based on your own criteria, with no prior examples necessary.
The best way to get notified about the introduction of new capabilities is to sign up for an Isaacus account and follow us on LinkedIn. If there’s something else you’d like to see added to the Isaacus API, please let us know and we’ll do our best to prioritize it.