Images Extraction and Advanced Vectorisation
Images Extraction​
ToothFairyAI automatically extracts images where available from the uploaded documents and PDFs. The images are then used by the AI agents to provide more information to the users when answering questions, generating content or providing recommendations.
You can also better instruct ToothFairyAI to extract only the images you are interested in by providing additional instructions to exclude images based on what they contain.
Below the file types supported for image extraction:
- Real time collaboration documents
- PDF files
- Web-pages extracted using the "Domain binding" feature
The images coming from the Web-pages are mapped for the agents to retrieve on-demand are also stored in our platform.
This approach grants consistency and reliability to the agents' results as the images are always available and not subject to the Web-page changes.
Advanced Vectorisation​
Advanced Vectorisation is available exclusively for Enterprise plans and provides superior embedding accuracy for enhanced AI agent performance.
Advanced Vectorisation is a dedicated enterprise-grade embedding process that significantly enhances the accuracy and performance of your AI agents. This sophisticated feature goes beyond standard vectorisation to provide:
Enhanced Embedding Accuracy​
- Deeper Context Understanding: Advanced algorithms analyze document structure, relationships, and semantic meaning more thoroughly
- Multi-Modal Processing: Combines text, image, and document structure analysis for comprehensive understanding
- Domain-Specific Optimization: Tailored embedding models that adapt to your specific industry and use case
Key Benefits​
Superior Search Relevance: Find the most relevant information with higher precision, reducing irrelevant results and improving agent response quality.
Enhanced Semantic Understanding: Better comprehension of context, relationships, and nuanced meanings within your documents.
Improved Agent Performance: More accurate embeddings lead to better agent responses, recommendations, and content generation.
Scalable Processing: Optimized for large document volumes while maintaining high accuracy standards.
How It Works​
The Advanced Vectorisation process analyzes your documents through multiple sophisticated layers:
- Document Structure Analysis: Understands headers, sections, relationships, and document hierarchy
- Semantic Embedding: Creates high-dimensional vector representations that capture deeper meaning
- Context Preservation: Maintains relationships between different parts of your documents
- Quality Optimization: Continuous refinement to ensure optimal embedding quality
To enable Advanced Vectorisation and unlock enhanced AI agent performance, please contact our Enterprise team to discuss your specific requirements and setup process.