
How The PDF AI Assistant Works
Intelligent Document Processing with Vector Search Technology
The Workflow Process:
- Document Ingestion: The Bitcoin whitepaper PDF is loaded via Binary Input Loader
- Content Vectorization: Text is processed into semantic vectors using Embeddings OpenAI
- Knowledge Base Creation: Vectors are stored in Pinecone index with semantic meaning preserved
- Query Processing: User questions are converted to vector format
- Semantic Search: System finds most relevant document sections based on similarity
- AI Response Generation: OpenAI generates contextually accurate responses using retrieved content
This approach goes beyond simple keyword matching by understanding the semantic meaning of both the document and questions, enabling the system to find relevant information even when exact keywords aren't used.