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Open LLM(CohereForAI/c4ai-command-r7b-12-2024) and RAG
Kotaemon Template is a powerful text analysis tool designed to help users extract insights from text data. It specializes in identifying entities and relationships within unstructured text, making it an essential tool for tasks like information extraction, data mining, and semantic analysis. Built with advanced AI capabilities, Kotaemon Template enables users to uncover hidden patterns and connections in text, providing a deeper understanding of their data.
• Entity Recognition: Automatically identifies and categorizes entities such as names, locations, organizations, and dates. • Relationship Mapping: Detects and visualizes relationships between entities, helping users understand context and connections. • Customizable Models: Allows users to fine-tune the model for specific domains or industries, improving accuracy for specialized texts. • Multi-Language Support: Processes text in multiple languages, catering to global and diverse datasets. • Integration-Friendly: Easily integrates with other applications and workflows for seamless data processing.
What is Kotaemon Template used for?
Kotaemon Template is primarily used for text analysis tasks such as entity recognition, relationship extraction, and semantic analysis. It is ideal for extracting structured information from unstructured text data.
What formats does Kotaemon Template support?
Kotaemon Template supports various text formats, including raw text, CSV, JSON, and document files like PDF and Word.
Can I use Kotaemon Template for non-English texts?
Yes, Kotaemon Template offers multi-language support, allowing you to analyze texts in multiple languages, making it a versatile tool for global datasets.