Automatically Answer Complex Questions

Knowledge AI

Instantly Retrieve And Summarize Answers

from multiple documents without prior training

The new intent-less model uses the power of large language models and generative AI technologies to eliminate manual intent creation and answer users’ questions contextually.

The new feature can take content from diverse sources like webpages, PDF files, and CMS pages. It uses a combination of intelligent algorithms to understand the document layout, semantic meaning of the content using vector-based embeddings, and OCR technologies to efficiently generate contextually relevant answers for your users’ questions without the need for manual FAQ creation. The feature also ensures up-to-date answers by auto-syncing the information from external sources.

Ontology

Drive Involved Conversations

by generating knowledge graph

Construct a Knowledge Graph (KG) – a hierarchy with key domain terms, make it more natural by adding context-specific questions and their derivatives, synonyms, and ML models.

While working on large data sets, leverage the Kore.ai Knowledge Graph Generator from Github to generate an efficient knowledge graph.

Annotation

Optimize Responses

by marking the critical parts of the content

Leverage the powerful Annotation tool to annotate documents identifying the key sections of the content. Mark them as Header, Heading, Footer, Exclude or even Ignore page. It will help the Knowledge Graph engine to extract content efficiently and process it to deliver optimized results.